{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>女肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>100</td>\n",
       "      <td>9.32</td>\n",
       "      <td>72</td>\n",
       "      <td>185</td>\n",
       "      <td>85</td>\n",
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       "      <td>76</td>\n",
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       "      <td>85</td>\n",
       "      <td>3775</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.299999</td>\n",
       "      <td>19.309999</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>40</td>\n",
       "      <td>11.44</td>\n",
       "      <td>10</td>\n",
       "      <td>148</td>\n",
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       "      <td>9</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>66</td>\n",
       "      <td>3683</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.599998</td>\n",
       "      <td>25.070000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>80</td>\n",
       "      <td>13.40</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>60</td>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "      <td>3331</td>\n",
       "      <td>100</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>24.340000</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>85</td>\n",
       "      <td>9.52</td>\n",
       "      <td>70</td>\n",
       "      <td>172</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>3701</td>\n",
       "      <td>100</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.700001</td>\n",
       "      <td>19.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>80</td>\n",
       "      <td>9.79</td>\n",
       "      <td>68</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>64</td>\n",
       "      <td>34</td>\n",
       "      <td>70</td>\n",
       "      <td>3592</td>\n",
       "      <td>100</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>22.910000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0   1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1   1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2   1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "3   1  女    3.39        85   9.52       70  172     76    21      90   46   \n",
       "4   1  女    3.43        80   9.79       68  145     50     8      64   34   \n",
       "\n",
       "   女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  \n",
       "0     85  3775     100  163.0  51.299999  19.309999  \n",
       "1     66  3683     100  163.0  66.599998  25.070000  \n",
       "2     76  3331     100  157.0  60.000000  24.340000  \n",
       "3     85  3701     100  160.0  50.700001  19.799999  \n",
       "4     70  3592     100  167.0  63.900002  22.910000  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_excel('./体测分数_女生.xls')\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>男引体</th>\n",
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       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
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       "      <td>男</td>\n",
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       "      <th>2</th>\n",
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       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
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       "      <td>8.45</td>\n",
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       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>68</td>\n",
       "      <td>8.05</td>\n",
       "      <td>74</td>\n",
       "      <td>206</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
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       "      <td>4946</td>\n",
       "      <td>100</td>\n",
       "      <td>183</td>\n",
       "      <td>79.699997</td>\n",
       "      <td>23.799999</td>\n",
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       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>85</td>\n",
       "      <td>7.52</td>\n",
       "      <td>78</td>\n",
       "      <td>210</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>9</td>\n",
       "      <td>68</td>\n",
       "      <td>3538</td>\n",
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      ],
      "text/plain": [
       "   班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0   1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1   1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2   1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "3   1  男     4.21         68   8.05       74  206     64    13      76    1   \n",
       "4   1  男     3.44         85   7.52       78  210     66    13      76    9   \n",
       "\n",
       "   男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0      0  2785      62  170  72.599998  25.120001  \n",
       "1     60  3133      68  174  52.700001  17.410000  \n",
       "2      0  3901      80  169  46.500000  16.280001  \n",
       "3      0  4946     100  183  79.699997  23.799999  \n",
       "4     68  3538      74  171  54.700001  18.709999  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1=pd.read_excel('./体测分数_男生.xls')\n",
    "df1=df1.dropna()\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
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       "      <td>男</td>\n",
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      ],
      "text/plain": [
       "   班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0   1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1   1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2   1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "3   1  男     4.21         68   8.05       74  206     64    13      76    1   \n",
       "4   1  男     3.44         85   7.52       78  210     66    13      76    9   \n",
       "\n",
       "   男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  man_c  man_up   man_r  \n",
       "0      0  2785      62  170  72.599998  25.120001  67-99   0-33分  67-99分  \n",
       "1     60  3133      68  174  52.700001  17.410000  67-99  34-66分  67-99分  \n",
       "2      0  3901      80  169  46.500000  16.280001  67-99   0-33分  67-99分  \n",
       "3      0  4946     100  183  79.699997  23.799999  67-99   0-33分  67-99分  \n",
       "4     68  3538      74  171  54.700001  18.709999  67-99  67-99分  67-99分  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['man_r']=pd.cut(df1.男1000米跑分数,\n",
    "       bins=[0,33,66,99],\n",
    "       right=False,\n",
    "       labels=['0-33分','34-66分','67-99分'])\n",
    "df1['man_up']=pd.cut(df1.男引体分数,\n",
    "       bins=[0,33,66,99],\n",
    "       right=False,\n",
    "       labels=['0-33分','34-66分','67-99分'])\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 字体\n",
    "from matplotlib.font_manager import FontManager"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "fm=FontManager()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['DejaVu Sans',\n",
       " 'STIXGeneral',\n",
       " 'STIXGeneral',\n",
       " 'cmb10',\n",
       " 'STIXSizeFiveSym',\n",
       " 'cmtt10',\n",
       " 'DejaVu Serif',\n",
       " 'STIXSizeThreeSym',\n",
       " 'STIXSizeOneSym',\n",
       " 'cmr10',\n",
       " 'DejaVu Sans Display',\n",
       " 'STIXGeneral',\n",
       " 'DejaVu Sans',\n",
       " 'STIXSizeFourSym',\n",
       " 'STIXNonUnicode',\n",
       " 'cmex10',\n",
       " 'STIXNonUnicode',\n",
       " 'STIXSizeTwoSym',\n",
       " 'DejaVu Sans Mono',\n",
       " 'DejaVu Sans Mono',\n",
       " 'cmss10',\n",
       " 'DejaVu Sans',\n",
       " 'cmmi10',\n",
       " 'STIXSizeThreeSym',\n",
       " 'STIXSizeTwoSym',\n",
       " 'STIXSizeOneSym',\n",
       " 'DejaVu Sans',\n",
       " 'STIXSizeFourSym',\n",
       " 'STIXGeneral',\n",
       " 'cmsy10',\n",
       " 'DejaVu Serif',\n",
       " 'DejaVu Serif Display',\n",
       " 'DejaVu Serif',\n",
       " 'DejaVu Serif',\n",
       " 'DejaVu Sans Mono',\n",
       " 'STIXNonUnicode',\n",
       " 'DejaVu Sans Mono',\n",
       " 'STIXNonUnicode',\n",
       " '.Arabic UI Display',\n",
       " 'Nadeem',\n",
       " '.SF Compact Text',\n",
       " 'STIXNonUnicode',\n",
       " 'Songti SC',\n",
       " 'PT Sans',\n",
       " 'Hiragino Sans',\n",
       " 'Apple Symbols',\n",
       " 'Big Caslon',\n",
       " '.SF Compact Display',\n",
       " 'Zapf Dingbats',\n",
       " '.SF NS Display Condensed',\n",
       " 'Kokonor',\n",
       " 'Papyrus',\n",
       " '.SF Compact Text',\n",
       " 'Krungthep',\n",
       " 'Rockwell',\n",
       " 'Futura',\n",
       " 'STIXGeneral',\n",
       " '.SF NS Symbols',\n",
       " '.SF NS Symbols',\n",
       " 'Lucida Grande',\n",
       " 'InaiMathi',\n",
       " 'Sinhala MN',\n",
       " 'Wingdings',\n",
       " 'Skia',\n",
       " 'System Font',\n",
       " 'Chalkboard',\n",
       " 'Corsiva Hebrew',\n",
       " 'Tahoma',\n",
       " '.SF Compact Text',\n",
       " 'Times New Roman',\n",
       " 'Tamil MN',\n",
       " 'Sukhumvit Set',\n",
       " 'Damascus',\n",
       " 'Malayalam MN',\n",
       " 'Superclarendon',\n",
       " 'Euphemia UCAS',\n",
       " 'System Font',\n",
       " '.SF NS Symbols',\n",
       " '.SF Compact Rounded',\n",
       " 'PT Serif',\n",
       " 'Iowan Old Style',\n",
       " 'Oriya MN',\n",
       " 'STIXGeneral',\n",
       " '.SF Compact Text',\n",
       " '.SF Compact Rounded',\n",
       " 'Arial',\n",
       " 'Kohinoor Devanagari',\n",
       " '.SF NS Display Condensed',\n",
       " 'Gujarati MT',\n",
       " 'STIXIntegralsUpD',\n",
       " 'Kailasa',\n",
       " 'Mishafi',\n",
       " 'System Font',\n",
       " 'Georgia',\n",
       " 'Cochin',\n",
       " 'Times',\n",
       " 'Trebuchet MS',\n",
       " 'Palatino',\n",
       " 'Kefa',\n",
       " 'Copperplate',\n",
       " 'New Peninim MT',\n",
       " 'STIXSizeTwoSym',\n",
       " 'Plantagenet Cherokee',\n",
       " '.SF NS Text Condensed',\n",
       " 'Apple SD Gothic Neo',\n",
       " 'Farah',\n",
       " 'AppleMyungjo',\n",
       " 'System Font',\n",
       " 'System Font',\n",
       " 'Heiti TC',\n",
       " 'Lao Sangam MN',\n",
       " 'Courier New',\n",
       " 'STIXSizeFourSym',\n",
       " 'STIXIntegralsUp',\n",
       " 'System Font',\n",
       " 'Muna',\n",
       " '.SF NS Symbols',\n",
       " 'Arial Rounded MT Bold',\n",
       " '.SF NS Text Condensed',\n",
       " 'Menlo',\n",
       " 'Thonburi',\n",
       " 'Myanmar Sangam MN',\n",
       " 'Apple Braille',\n",
       " 'Bradley Hand',\n",
       " 'Optima',\n",
       " 'System Font',\n",
       " 'Tahoma',\n",
       " 'Apple Braille',\n",
       " 'Comic Sans MS',\n",
       " 'Farisi',\n",
       " 'STIXSizeTwoSym',\n",
       " 'Savoye LET',\n",
       " 'Telugu MN',\n",
       " 'STIXIntegralsUpSm',\n",
       " 'System Font',\n",
       " 'DIN Alternate',\n",
       " 'Avenir',\n",
       " 'Chalkboard SE',\n",
       " 'DecoType Naskh',\n",
       " '.SF NS Text Condensed',\n",
       " '.SF Compact Text',\n",
       " 'Chalkduster',\n",
       " 'Courier New',\n",
       " '.SF Compact Display',\n",
       " 'Arial Narrow',\n",
       " 'Apple Braille',\n",
       " 'Apple Braille',\n",
       " 'System Font',\n",
       " '.Aqua Kana',\n",
       " 'System Font',\n",
       " 'Al Tarikh',\n",
       " 'Luminari',\n",
       " 'Phosphate',\n",
       " 'Diwan Kufi',\n",
       " 'Georgia',\n",
       " 'Marker Felt',\n",
       " 'Mishafi Gold',\n",
       " 'Malayalam Sangam MN',\n",
       " 'STIXIntegralsUp',\n",
       " 'STIXSizeFiveSym',\n",
       " 'Andale Mono',\n",
       " 'Arial Hebrew',\n",
       " 'Hiragino Sans',\n",
       " 'STIXNonUnicode',\n",
       " 'PingFang HK',\n",
       " 'Hiragino Sans',\n",
       " '.SF Compact Display',\n",
       " 'Arial Narrow',\n",
       " 'Apple Chancery',\n",
       " 'Verdana',\n",
       " '.SF Compact Display',\n",
       " '.SF Compact Text',\n",
       " '.SF NS Display Condensed',\n",
       " 'STIXIntegralsSm',\n",
       " 'Telugu Sangam MN',\n",
       " 'Bangla Sangam MN',\n",
       " '.SF Compact Display',\n",
       " 'Hiragino Sans GB',\n",
       " 'Sinhala Sangam MN',\n",
       " 'Avenir Next',\n",
       " 'Baghdad',\n",
       " 'Arial',\n",
       " 'SignPainter',\n",
       " 'Arial Black',\n",
       " 'Arial Unicode MS',\n",
       " '.Helvetica Neue DeskInterface',\n",
       " 'Zapfino',\n",
       " 'Webdings',\n",
       " 'Impact',\n",
       " 'Bodoni 72 Smallcaps',\n",
       " 'Courier New',\n",
       " 'Bodoni 72',\n",
       " 'KufiStandardGK',\n",
       " '.SF Compact Text',\n",
       " '.SF NS Text Condensed',\n",
       " 'Times New Roman',\n",
       " 'American Typewriter',\n",
       " '.SF Compact Display',\n",
       " 'System Font',\n",
       " 'Bodoni Ornaments',\n",
       " 'STIXIntegralsUpSm',\n",
       " 'Brush Script MT',\n",
       " 'ITF Devanagari',\n",
       " 'Noteworthy',\n",
       " 'Heiti TC',\n",
       " 'Hiragino Sans',\n",
       " 'Oriya Sangam MN',\n",
       " '.SF Compact Rounded',\n",
       " '.SF Compact Text',\n",
       " '.SF Compact Text',\n",
       " 'Seravek',\n",
       " 'System Font',\n",
       " 'Devanagari Sangam MN',\n",
       " 'Georgia',\n",
       " 'System Font',\n",
       " 'Geeza Pro',\n",
       " '.SF NS Rounded',\n",
       " 'Arial',\n",
       " 'Kohinoor Bangla',\n",
       " 'System Font',\n",
       " 'Gurmukhi Sangam MN',\n",
       " '.SF Compact Display',\n",
       " 'STIXSizeOneSym',\n",
       " 'STIXVariants',\n",
       " 'STIXIntegralsD',\n",
       " 'Gurmukhi MT',\n",
       " '.SF Compact Rounded',\n",
       " '.SF NS Display Condensed',\n",
       " '.SF Compact Rounded',\n",
       " '.SF NS Symbols',\n",
       " 'Khmer MN',\n",
       " 'Hiragino Sans',\n",
       " 'Symbol',\n",
       " 'Helvetica Neue',\n",
       " '.SF NS Symbols',\n",
       " 'Mshtakan',\n",
       " 'Waseem',\n",
       " 'Avenir Next Condensed',\n",
       " 'Hiragino Sans',\n",
       " 'Hiragino Sans',\n",
       " 'Hiragino Mincho ProN',\n",
       " 'Hiragino Sans',\n",
       " 'STIXIntegralsD',\n",
       " 'Microsoft Sans Serif',\n",
       " 'Times New Roman',\n",
       " 'Athelas',\n",
       " 'DIN Condensed',\n",
       " 'Trattatello',\n",
       " '.SF Compact Text',\n",
       " 'Verdana',\n",
       " 'Kohinoor Telugu',\n",
       " 'Devanagari MT',\n",
       " 'Silom',\n",
       " 'Diwan Thuluth',\n",
       " 'STIXIntegralsSm',\n",
       " 'Khmer Sangam MN',\n",
       " '.SF NS Text Condensed',\n",
       " 'Bodoni 72 Oldstyle',\n",
       " 'Marion',\n",
       " 'Hoefler Text',\n",
       " 'Sathu',\n",
       " '.SF Compact Display',\n",
       " 'Arial Narrow',\n",
       " 'Kannada MN',\n",
       " 'Trebuchet MS',\n",
       " 'Hiragino Maru Gothic Pro',\n",
       " '.Keyboard',\n",
       " 'Al Bayan',\n",
       " 'Courier New',\n",
       " '.SF NS Display Condensed',\n",
       " '.SF NS Symbols',\n",
       " '.SF Compact Display',\n",
       " 'Gurmukhi MN',\n",
       " 'Verdana',\n",
       " 'AppleGothic',\n",
       " 'STIXIntegralsUpD',\n",
       " 'Raanana',\n",
       " 'Didot',\n",
       " 'Ayuthaya',\n",
       " '.SF Compact Rounded',\n",
       " 'Helvetica',\n",
       " 'STIXSizeFourSym',\n",
       " 'Apple Braille',\n",
       " '.SF Compact Text',\n",
       " 'Sana',\n",
       " 'Kannada Sangam MN',\n",
       " 'System Font',\n",
       " 'Comic Sans MS',\n",
       " '.Arabic UI Text',\n",
       " 'Myanmar MN',\n",
       " 'STIXNonUnicode',\n",
       " '.SF Compact Text',\n",
       " '.SF NS Display Condensed',\n",
       " '.SF Compact Rounded',\n",
       " 'Arial Narrow',\n",
       " 'Trebuchet MS',\n",
       " 'Tamil Sangam MN',\n",
       " '.LastResort',\n",
       " 'Arial',\n",
       " 'Times New Roman',\n",
       " 'STIXVariants',\n",
       " '.SF NS Symbols',\n",
       " 'System Font',\n",
       " '.SF NS Display Condensed',\n",
       " '.SF NS Display Condensed',\n",
       " '.SF Compact Rounded',\n",
       " '.SF NS Display Condensed',\n",
       " '.SF NS Text Condensed',\n",
       " 'Beirut',\n",
       " 'STIXSizeThreeSym',\n",
       " 'Hiragino Sans',\n",
       " 'STIXSizeOneSym',\n",
       " 'Lao MN',\n",
       " 'Gill Sans',\n",
       " 'Georgia',\n",
       " 'Herculanum',\n",
       " 'Snell Roundhand',\n",
       " 'PT Serif Caption',\n",
       " '.SF Compact Rounded',\n",
       " 'Al Nile',\n",
       " 'Hiragino Sans',\n",
       " 'Trebuchet MS',\n",
       " 'Noto Nastaliq Urdu',\n",
       " 'Baskerville',\n",
       " '.SF NS Symbols',\n",
       " 'Bangla MN',\n",
       " 'Charter',\n",
       " 'Gujarati Sangam MN',\n",
       " 'STIXGeneral',\n",
       " 'Verdana',\n",
       " 'STIXSizeThreeSym',\n",
       " 'Wingdings 3',\n",
       " 'Wingdings 2',\n",
       " 'STIXNonUnicode',\n",
       " 'Shree Devanagari 714',\n",
       " 'Hoefler Text',\n",
       " 'PT Mono',\n",
       " 'STIXGeneral']"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[font.name for font in fm.ttflist]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '     男子引体不同分数段占比情况     ')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 获取男子1000米跑数据\n",
    "plt.rcParams['font.family']='Heiti TC'\n",
    "plt.rcParams['font.size']=18\n",
    "man_r=df1['man_r'].value_counts()\n",
    "plt.figure(figsize=(9,9))\n",
    "\n",
    "_=plt.pie(man_r,autopct='%0.2f%%',\n",
    "          labels=man_r.index\n",
    "    \n",
    "         )\n",
    "plt.title(label='     男子1000米跑不同分数段占比情况     ',\n",
    "          fontsize=32,\n",
    "          backgroundcolor='#c5f799',\n",
    "          color='white',\n",
    "          pad=30\n",
    "          \n",
    "         )\n",
    "\n",
    "\n",
    "# 男引体\n",
    "man_up=df1['man_up'].value_counts()\n",
    "plt.figure(figsize=(9,9))\n",
    "a=plt.pie(man_up,autopct='%0.2f%%',\n",
    "          labels=man_up.index\n",
    "    \n",
    "         )\n",
    "plt.title(label='     男子引体不同分数段占比情况     ',\n",
    "          fontsize=32,\n",
    "          backgroundcolor='#c5f799',\n",
    "          color='white',\n",
    "          pad=30\n",
    "          \n",
    "         )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>女肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "      <th>w_r</th>\n",
       "      <th>w_u</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>100</td>\n",
       "      <td>9.32</td>\n",
       "      <td>72</td>\n",
       "      <td>185</td>\n",
       "      <td>85</td>\n",
       "      <td>16</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>85</td>\n",
       "      <td>3775</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.299999</td>\n",
       "      <td>19.309999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76~100分</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>40</td>\n",
       "      <td>11.44</td>\n",
       "      <td>10</td>\n",
       "      <td>148</td>\n",
       "      <td>60</td>\n",
       "      <td>9</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>66</td>\n",
       "      <td>3683</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.599998</td>\n",
       "      <td>25.070000</td>\n",
       "      <td>26~50分</td>\n",
       "      <td>51~75分</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>80</td>\n",
       "      <td>13.40</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>60</td>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "      <td>3331</td>\n",
       "      <td>100</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>24.340000</td>\n",
       "      <td>76~100分</td>\n",
       "      <td>51~75分</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>85</td>\n",
       "      <td>9.52</td>\n",
       "      <td>70</td>\n",
       "      <td>172</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>3701</td>\n",
       "      <td>100</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.700001</td>\n",
       "      <td>19.799999</td>\n",
       "      <td>76~100分</td>\n",
       "      <td>76~100分</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>80</td>\n",
       "      <td>9.79</td>\n",
       "      <td>68</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>64</td>\n",
       "      <td>34</td>\n",
       "      <td>70</td>\n",
       "      <td>3592</td>\n",
       "      <td>100</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>22.910000</td>\n",
       "      <td>76~100分</td>\n",
       "      <td>51~75分</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0   1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1   1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2   1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "3   1  女    3.39        85   9.52       70  172     76    21      90   46   \n",
       "4   1  女    3.43        80   9.79       68  145     50     8      64   34   \n",
       "\n",
       "   女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI      w_r      w_u  \n",
       "0     85  3775     100  163.0  51.299999  19.309999      NaN  76~100分  \n",
       "1     66  3683     100  163.0  66.599998  25.070000   26~50分   51~75分  \n",
       "2     76  3331     100  157.0  60.000000  24.340000  76~100分   51~75分  \n",
       "3     85  3701     100  160.0  50.700001  19.799999  76~100分  76~100分  \n",
       "4     70  3592     100  167.0  63.900002  22.910000  76~100分   51~75分  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['w_r']=pd.cut(df.女800米跑分数,\n",
    "       bins=[0,25,50,75,100],\n",
    "       right=False,\n",
    "       labels=['0~25分','26~50分','51~75分','76~100分'])\n",
    "df['w_u']=pd.cut(df.女跳远分数,\n",
    "       bins=[0,25,50,75,100],\n",
    "       right=False,\n",
    "       labels=['0~25分','26~50分','51~75分','76~100分'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '     女跳远不同分数段占比情况     ')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 获取女800米跑数据\n",
    "plt.rcParams['font.family']='Heiti TC'\n",
    "plt.rcParams['font.size']=18\n",
    "w_r=df['w_r'].value_counts()\n",
    "plt.figure(figsize=(9,9))\n",
    "\n",
    "_=plt.bar(x=w_r.index,\n",
    "          height=w_r\n",
    "    \n",
    "         )\n",
    "plt.title(label='     女800米跑不同分数段占比情况     ',\n",
    "          fontsize=32,\n",
    "          backgroundcolor='#c5f799',\n",
    "          color='white',\n",
    "          pad=30\n",
    "          \n",
    "         )\n",
    "\n",
    "\n",
    "# 女跳远分数\n",
    "w_u=df['w_u'].value_counts()\n",
    "plt.figure(figsize=(9,9))\n",
    "a=plt.bar(x=w_u.index,\n",
    "          height=w_u\n",
    "          \n",
    "         )\n",
    "plt.title(label='     女跳远不同分数段占比情况     ',\n",
    "          fontsize=32,\n",
    "          backgroundcolor='#c5f799',\n",
    "          color='white',\n",
    "          pad=30\n",
    "          \n",
    "         )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>...</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>女肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "      <th>w_r</th>\n",
       "      <th>w_u</th>\n",
       "      <th>bmi1</th>\n",
       "      <th>bmi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>100</td>\n",
       "      <td>9.32</td>\n",
       "      <td>72</td>\n",
       "      <td>185</td>\n",
       "      <td>85</td>\n",
       "      <td>16</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>85</td>\n",
       "      <td>3775</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.299999</td>\n",
       "      <td>19.309999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76~100分</td>\n",
       "      <td>正常</td>\n",
       "      <td>超重</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>40</td>\n",
       "      <td>11.44</td>\n",
       "      <td>10</td>\n",
       "      <td>148</td>\n",
       "      <td>60</td>\n",
       "      <td>9</td>\n",
       "      <td>66</td>\n",
       "      <td>...</td>\n",
       "      <td>66</td>\n",
       "      <td>3683</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.599998</td>\n",
       "      <td>25.070000</td>\n",
       "      <td>26~50分</td>\n",
       "      <td>51~75分</td>\n",
       "      <td>超重</td>\n",
       "      <td>正常</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>80</td>\n",
       "      <td>13.40</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>60</td>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>...</td>\n",
       "      <td>76</td>\n",
       "      <td>3331</td>\n",
       "      <td>100</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>24.340000</td>\n",
       "      <td>76~100分</td>\n",
       "      <td>51~75分</td>\n",
       "      <td>超重</td>\n",
       "      <td>低体重</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>85</td>\n",
       "      <td>9.52</td>\n",
       "      <td>70</td>\n",
       "      <td>172</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>85</td>\n",
       "      <td>3701</td>\n",
       "      <td>100</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.700001</td>\n",
       "      <td>19.799999</td>\n",
       "      <td>76~100分</td>\n",
       "      <td>76~100分</td>\n",
       "      <td>正常</td>\n",
       "      <td>超重</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>80</td>\n",
       "      <td>9.79</td>\n",
       "      <td>68</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>64</td>\n",
       "      <td>...</td>\n",
       "      <td>70</td>\n",
       "      <td>3592</td>\n",
       "      <td>100</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>22.910000</td>\n",
       "      <td>76~100分</td>\n",
       "      <td>51~75分</td>\n",
       "      <td>超重</td>\n",
       "      <td>正常</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  ...  \\\n",
       "0   1  女    3.22       100   9.32       72  185     85    16      76  ...   \n",
       "1   1  女    4.59        40  11.44       10  148     60     9      66  ...   \n",
       "2   1  女    3.46        80  13.40        0  150     60     7      64  ...   \n",
       "3   1  女    3.39        85   9.52       70  172     76    21      90  ...   \n",
       "4   1  女    3.43        80   9.79       68  145     50     8      64  ...   \n",
       "\n",
       "   女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI      w_r      w_u bmi1  \\\n",
       "0     85  3775     100  163.0  51.299999  19.309999      NaN  76~100分   正常   \n",
       "1     66  3683     100  163.0  66.599998  25.070000   26~50分   51~75分   超重   \n",
       "2     76  3331     100  157.0  60.000000  24.340000  76~100分   51~75分   超重   \n",
       "3     85  3701     100  160.0  50.700001  19.799999  76~100分  76~100分   正常   \n",
       "4     70  3592     100  167.0  63.900002  22.910000  76~100分   51~75分   超重   \n",
       "\n",
       "   bmi  \n",
       "0   超重  \n",
       "1   正常  \n",
       "2  低体重  \n",
       "3   超重  \n",
       "4   正常  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['bmi']=pd.cut(df1.BMI,\n",
    "       bins=[0,16.7,23.2,26.3,100],\n",
    "       right=False,\n",
    "       labels=['低体重','正常','超重','肥胖'])\n",
    "\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>...</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "      <th>man_c</th>\n",
       "      <th>man_up</th>\n",
       "      <th>man_r</th>\n",
       "      <th>bmi</th>\n",
       "      <th>bmi1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>72</td>\n",
       "      <td>8.88</td>\n",
       "      <td>66</td>\n",
       "      <td>195</td>\n",
       "      <td>60</td>\n",
       "      <td>12</td>\n",
       "      <td>74</td>\n",
       "      <td>...</td>\n",
       "      <td>2785</td>\n",
       "      <td>62</td>\n",
       "      <td>170</td>\n",
       "      <td>72.599998</td>\n",
       "      <td>25.120001</td>\n",
       "      <td>67-99</td>\n",
       "      <td>0-33分</td>\n",
       "      <td>67-99分</td>\n",
       "      <td>超重</td>\n",
       "      <td>正常</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>70</td>\n",
       "      <td>7.70</td>\n",
       "      <td>78</td>\n",
       "      <td>225</td>\n",
       "      <td>74</td>\n",
       "      <td>11</td>\n",
       "      <td>74</td>\n",
       "      <td>...</td>\n",
       "      <td>3133</td>\n",
       "      <td>68</td>\n",
       "      <td>174</td>\n",
       "      <td>52.700001</td>\n",
       "      <td>17.410000</td>\n",
       "      <td>67-99</td>\n",
       "      <td>34-66分</td>\n",
       "      <td>67-99分</td>\n",
       "      <td>正常</td>\n",
       "      <td>超重</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>74</td>\n",
       "      <td>8.45</td>\n",
       "      <td>70</td>\n",
       "      <td>218</td>\n",
       "      <td>70</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>...</td>\n",
       "      <td>3901</td>\n",
       "      <td>80</td>\n",
       "      <td>169</td>\n",
       "      <td>46.500000</td>\n",
       "      <td>16.280001</td>\n",
       "      <td>67-99</td>\n",
       "      <td>0-33分</td>\n",
       "      <td>67-99分</td>\n",
       "      <td>低体重</td>\n",
       "      <td>超重</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>68</td>\n",
       "      <td>8.05</td>\n",
       "      <td>74</td>\n",
       "      <td>206</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>4946</td>\n",
       "      <td>100</td>\n",
       "      <td>183</td>\n",
       "      <td>79.699997</td>\n",
       "      <td>23.799999</td>\n",
       "      <td>67-99</td>\n",
       "      <td>0-33分</td>\n",
       "      <td>67-99分</td>\n",
       "      <td>超重</td>\n",
       "      <td>正常</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>85</td>\n",
       "      <td>7.52</td>\n",
       "      <td>78</td>\n",
       "      <td>210</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>3538</td>\n",
       "      <td>74</td>\n",
       "      <td>171</td>\n",
       "      <td>54.700001</td>\n",
       "      <td>18.709999</td>\n",
       "      <td>67-99</td>\n",
       "      <td>67-99分</td>\n",
       "      <td>67-99分</td>\n",
       "      <td>正常</td>\n",
       "      <td>超重</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  ...  \\\n",
       "0   1  男     4.13         72   8.88       66  195     60    12      74  ...   \n",
       "1   1  男     4.16         70   7.70       78  225     74    11      74  ...   \n",
       "2   1  男     4.09         74   8.45       70  218     70    14      78  ...   \n",
       "3   1  男     4.21         68   8.05       74  206     64    13      76  ...   \n",
       "4   1  男     3.44         85   7.52       78  210     66    13      76  ...   \n",
       "\n",
       "   男肺活量  男肺活量分数   身高         体重        BMI  man_c  man_up   man_r  bmi bmi1  \n",
       "0  2785      62  170  72.599998  25.120001  67-99   0-33分  67-99分   超重   正常  \n",
       "1  3133      68  174  52.700001  17.410000  67-99  34-66分  67-99分   正常   超重  \n",
       "2  3901      80  169  46.500000  16.280001  67-99   0-33分  67-99分  低体重   超重  \n",
       "3  4946     100  183  79.699997  23.799999  67-99   0-33分  67-99分   超重   正常  \n",
       "4  3538      74  171  54.700001  18.709999  67-99  67-99分  67-99分   正常   超重  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['bmi1']=pd.cut(df.BMI,\n",
    "       bins=[0,16.5,22.7,25.2,100],\n",
    "       right=False,\n",
    "       labels=['低体重','正常','超重','肥胖'])\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x129683fd0>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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nDWTK0C6+nmID/8XsY7rXb4WJiDRC4U7k0AwFHsashNms0ioXT3+ziee/3UxljaZliIi0N6N6JPGbKYMZ0zvF11MKMHuaPgO4/FaYiEg9CnciLZOA2efoNsxwzCa5at289cN2Hp21gb2l1X4vTkRE/Gvy4HTuOW0QAzLifT1lJXArMNd/VYmIGAp3Ir6xgIuBf2FWw2zWrLU5/O3zdWzcU+rXwkREJLDCHBbnj8rk1ycPoHNilK+nvQXchTZBFxE/UrgTad4Q4AngBF8ar9pZxIOfrWXhJm1ALiISyqKcDq6Z0Jsbj+/r6x55ZcCDmGH92h9PRFqdwp2Id/HA74DbgWbXw84urOChGev5YPlOrYApItKBpMRGcNepA7lodHccDsuXUzZifrd86t/KRKSjUbgTacgCpmLurHZrrnFplYunZm/k+W+3UOXSYikiIh3VsG6J/PHsIziyR7Kvp3wK/Ar4yX9ViUhHonAncqBBmCGYk31p/OHynTz46Vr2lGh0jYiIgGXB+aMyuee0QaTFR/pyShVmn9SHAK28JSKHReFOxIjFLFn9a6DZiRM/5ZTwuw9Xs3Cz5tWJiEhD8ZHh3HZSf64c3wunb5ug/whcByzyb2UiEsoU7kTgJMyGs72aa1hW5eLRWT/x4vwtuLQLuYiINKNfehy/P3MIE/un+dLcBh4DfgtoqWURaTGFO+nIkoB/Atf60vjjFdk8+OladhdX+rcqEREJOace0Zn7zxhMZnKML823ATcCn/u3KhEJNQp3fmJZVlegK7DEPugv2bKsvwIFtm3/o02KE4CzgKcx/42atHFPKb/7cBULtLWBiIgchiingxsn9eXGSX2Jcob5csobmAVX9vi3MhEJFSEV7izL6gakApWYSckuwO15gFkFMRyIwMyxKrVte3Mj17kdmAcsPTiYHdQuDqiwbbu2kWO3YBbmeMW27SsPOrYKmGvb9s0+fD/VQA3gwMwFiwUSgHRMMBkADAV6ABNt2y5p6ppCGvA4cFFzDcuqXDz21U+8MH8LNbWh8+9ERETaVveUaB48ZxjHDfBpqGY+JuC9ihm2KSLiVaiFu+uAZ1twyl9t277voGsMB1YAc4HTbNuu8LweB/QEBgKjgfGex622bT/TSC3vAucCg23b/umgY4uB72zb/kUz388jmH1w6riAYkzAywdWYzZErcQE169s227J99+RWMAlmLkMqc01/nTlLv786Rp2FWkIpoiI+Md5o7px/8+GkBwb4UvzmZihmg1uSouI1Gl2Y+Z2pszzHG3bdiWAZVm9gC3AybZtz6praFnWbqC8kWuch+kpuwaotiyrBIjE9JrV9aJFAH/B3EXLPvgClmWFYRbpeBsosCyrO2ZidBX7exMty7LCgTDPteMAbNveXa/uvwB/w4S3Ctu2qz3HvgHW2bZ9Y733dABRlmV1AqJs297h099Yx9AN+A9wRnMNdxVV8H//W8XX6zQCRkRE/Gv60p3MWZ/L/WcM4Zwjm91W9WRgFWaxlX8DDUYNiYiEWs/dxcCbwBHs3yumG/ANcCWwoF7zhcC/bdv+c73zw4CNwDe2bV/tea0Y80P0Ydu2CyzLegC40bbtjCbqOAf4H3A10A/4Px+/hddt277ME/pqGjnuxgzJCPM81w03dWB6puoU2bad5ON7hjILmIZZNCWhucZvLMrir5+to6TK5ffCRERE6jt+QBp/PneorwuuzMV8rtnq16JEpN0JtZ67Oqsbee1lH867DLMcfla911xAmW3bBZ4/h9P88sS/rPf1+8AyTK/ieZihnd0wd9zKgXswPYPxeCZM27btsixrCFDCgfMHXZhQNwtYB9zK/nmEYZ7rRAJRPnyvoa4X8DxwYnMNs/LK+M37P2rPOhERaTPfbMjllEfmcucpA7lqfC8cDqup5scBK4HbgJfQXDwR8QjVcOfrsEzq/TkOeLCRa7kP+nM59f7eLMuyPO9X7vnzGOCEuuO2bS/DhDssy7oZmA+cjtms9ALgh7p5ffXZtr3Wc85/gfM97+vChMKuwEhgsqd5OBANfFbX49iBWcDPgSdpprfO7bZ5Yf4W/vXlBipqNLpFRETaVnl1LX/8ZA0frcjmr+cNY3CXJn+NxQMvAGcD16MVNUUEM5wvlDR5m8vrSSagvYqZS1fUSJM/WZZVaVlWJfAHoIdlWVWWZdXNn/vIc51ozGbYsxt5j2hgErDc81IVsAk4s5nyaoG1mDA3GhgLLMUM+xzneYzG/FCv8u07DlnJmGG5r9JMsNuQU8L5Ty/gz5+uVbATEZGgsnx7IWc+/i3/+GIdVc3/jjobMxfvbP9XJiLBLtR67uI8zxUmrx1gZiOvRXuepwDnYIY33HdwI8zCKB94vh6NGUp5FWYYhJP9gfBoYBBmFc3FB13jCszQyVn13mM6cJ9lWe83tp2CRw0mwG09qO4xmJ6/+q/N9XKNjuBEzNDbzKYa1dS6eeqbTTz59Uaqaw/ulBUREQkOLrfNU99s4vNVu/nHBcM5uldKU83TMJ9TXsJ8likOQIkiEoRCLdx9DozCzG+rwvSqPYAJRs9hwpUD00MXheeHn23bn1mWdRvwFI2Hu1W2bb8HYFnWFky4m3fwipS2bc+1LGskcPDWB07g18AHtm2X1wuZrwN/Av6I90VXbM97HV/vet/QcLXM5Q1P7RAiMcNp72iu4Y87irj7/RWs3aWtAEVEpH3YsreMi55ZyPXH9eHXJw8kIrzJQVdXYaaGXAnMCUR9IhJcQibcWZYViwlCWzCLkNRgwt05wNu2bWd7hl/WbWIeDexbksq27cc81/F2fQszNHK957rDgQbbDdi2vdaz2mV9vwX6YhZUqd82y7KsFzG9dzl1NRzECYRbllV/9ctwIOKg18I831dHMhQTkIc31aja5ebRWRt4Zu5mat2acy4iIu2L24b/zNnMN+tzeeSikc3NxeuJmR7yMObzhzZsFelAQmnO3cmYsFUAVLB/P7lk4EbLsuq2DqjGrHaZixki6YsU4BPMdgilwBrMSlXNsizrVOBe4DUO2njUExh/j1nd89+WZb3t2aeuvlhgArAX2AXsBI4BLvf8OcdzbCj7h6WGOgdm2Mlimgl2P+WUcO5T83nqm00KdiIi0q6t213C2U/M5+lvNuJu+neahRnR0uzvSREJLSGzz51lWSlAD0ywq/E8/g8z120IDe9cTQeqbNs+4aDr7Ab+Y9v2Hzx/3osJd/nApbZtf2lZ1t8w89362438Bdbbp+5e4H5gG+YO2rN4NjDH9DJamMA3Afga00s3zrbtfM91IoGjMHP6SjzXdGHG1f8E3MX+HrtEz+P7us3OQ1RXzJyCk5tr+OL8Lfzt83VUuTS3TkREQsvonsk8fOFIeqQ2uy9eFeaG6LNoywSRkBcy4e5glmUdD8wAHrVt+55Gjm8B5ti2fdVBr+cBj9u2/QfLst4CLsSsTnm+bdtZnjaDMb1t59m2/YFlWUfYtr263jUiMWHyaswk508wPYXdMSFtOmZ/mj8BUbZtr7AsKw3I9GydUHedXphhpnXq9rqLwITEGvbPIawbT9r94LmAIeQ8zGqkTc4q31NcyV3vrWTOhtzAVCUiItIGYiPC+O0ZQ7hkTA9fmr+N2TJBi62IhLCQmXNXx7KsGMwdqt8DCzDjzQ9uMwCzyfXTjVwist7XRZil9a+xbXvfNgOeeXXvAn+zLKsA+NCyrJ/Ztj3f0yS6XtuH6l1vr+f9HUCNbdvr67XLxQTAuhqPxNxhmwDkYX4Y121i/iGm5+5OTKhzYIZkdgI6WZaVWD9shoAI4CEO3By+UTNW7+be6T+SXxbKnZciIiJQVl3LvdN/ZNbaHP523nDS4iOban4RZsXvupvWIhKCQqbnzrKsqZjNvn+GWQnzMeC++qHMsqzHMPvKdfa0OdK27eX1jjswAeqPwCPAaZjx6mX13ioKM/zRwmw9EO95/Qjbttd4rtMdMxTzatu2X2qk1izM5uUXHHysXpuNmEVYwAypqOu1szF739WFOgvPoivsX1BlTv3VNdu5nsA7mK0fvCqrcvHAx2t4Z/H2wFQlIiISRFJiI3jw3KFMGdqluabVmPl4T6JhmiIhJ5R67pYAfwFexAzF3NxIm5cwPWFLgLfqBzuPBPYPbzwSeIv9i7C4MfPbwj3PZ2Lm870NvFkX7DzSmql1D2Z4ZlNGY0JdZWPz+hrjCafRhM5/159hNiRPbqrRsm0F3P72crLyygNTlYiISJDJL6vmpteWcv6obvzx7KHERnr9KBABPI7ZMuFaoDBQNYqI/4VMz50/WJbltG27pqnXPQu5FPgawMQn4Zj5iL9pqpGr1s0Tszfy+NcbtRKmiIiIR9+0WJ64dFRzWyaA2Qf4IuB7vxclIgGhcCfBpitmnmOTW03sKCjnl28uY+k23XAUERE5WGS4g9+dMYSfj+vZXFMXcA9mOoo+FIq0cwp3EkxOAt6gmWGtM9fkcMe7yymucAWmKhERkXbqzOFd+Mt5w4iPcjbX9BPgKswibiLSTincSTAIw+xJ+Af2z3lswFXr5u9frOe/8xqbTikiIiKN6ZkawxOXjGJYZmJzTbOAc4CD1yQQkXZC4U7aWhrwGnBKU412FVXwizeWsSSrIDBViYiIhJCIMAf3nj6Iqyf0bq5pBWahlTf9X5WItDaFO2lLRwP/A7o11Wjuhlxuf3u59q4TERE5TKce0ZmHLhhOQnSzwzT/CdyLmZMnIu2Ewp20lcuA5zhw0/gDuN02j8zawJOzN6LFMEVERFpHZnI0T1xyJCN7NLnTEMAs4GI0D0+k3VC4k0ALA/4K3NVUo9ySKm57axkLNun3iYiISGtzhlncfdogrpvYp7mmW4BzgRX+r0pEDpfCnQRSEmY1zClNNVq0OY9fvLmM3JKqwFQlIiLSQZ05vAv/uGAE0RFhTTWrAK4G3g5MVSJyqBTuJFAGAB8BA5tq9OTsjTw8c4M2JRcREQmQwV3iefby0XRPiWmu6T+A+4Ba/1clIodC4U4C4TTgLcDrGsxlVS5+/c5yZqzOCVxVIiIiAkBSjJPHLzmSif2b3GoW4EvgEiDf/1WJSEsp3Ik/WcCvMXf6HN4abcsr57pXFrM+pyRghYmIiMiBwhwWd586kBsm9W2u6WbMfng/+r8qEWkJhTvxlyjgWeDyphot2LSXW15fSkF5TWCqEhERkSadNaIrfz9/eHPz8EqAqcCMwFQlIr5QuBN/6IrZv25MU41eXrCVP32yBpfm14mIiASVIV0SePaKo8hMbnIeXi1wC/BMYKoSkeYo3ElrGwV8jAl4jaqpdfO7D1fx5vfbA1eViIiItEhyjJMnLh3FhH6dmmv6EPAbwO3/qkSkKQp30pp+hlkmOdZbg72lVdz02hJ+2FoQuKpERETkkIQ5LH4zxaf98N7HTMWo8H9VIuKNwp20lpuAJ2hi4ZTV2UVc/8oSdhbq576IiEh7cs7Ibvz9gmFEhjc5D28RcDagpa9F2ojCnRwuB/B34M6mGn2yMpu73l1JRY22xhEREWmPxvRO4ZnLjiI5NqKpZluB04G1ASlKRA6gcCeHIxp4BbigqUb/+nI9j3+9MTAViYiIiN/07hTLi1cdTa9OXmdgABQC5wGzA1OViNRRuJNDlQJ8BEzw1qCqppY73l3BJyt3Ba4qERER8avkGCf/vWI0o3ulNNXMBUwDXg5MVSICCndyaHoCXwCDvDUoKKvmulcWszhLC6eIiIiEmshwB/+cOoIzR3hdHLvOn4DfA/rAKRIACnfSUiOAz4Eu3hps3VvG1S/9wJa9ZYGrSkRERALKsuCOkwfyixP7Ndf0BeAGTG+eiPiRwp20xGTM5uTx3hosySrgulcWk19WHbiqREREpM1cOLo7D547FGeY1wWzwXx+uBSoDExVIh2Twp346mLM4ilObw0+X7WL299aTpVLe5iKiIh0JBP6pfL0ZUeREOX1YwLA18A5QElgqhLpeBTuxBfXA/8BLG8NXlqwlT9+vBq3/ncSERHpkPqnx/Hi1UeTmRzTVLMfMFsl7A1MVSIdi8KdNOdO4KGmGvz1s7U8M3dzgMoRERGRYJUWF8mLVx/N0G6JTTVbC5wC7AhMVSIdh8KdeGMBDwD3e2tQ7dwCcQwAACAASURBVHJz13sr+HB5duCqEhERkaAWHxnOc1eOZmyf1KaabQNOBjYEpiqRjkHhThrjAB4GbvPWoKSyhhtfW8L8jXmBq0pERETahchwB0/+fBQnDc5oqlkucBqwNDBViYQ+hTs5WBjwLHCNtwb5ZdVc8cIiVu0sDlxVIiIi0q6EOyz+ccFwzhuV2VSzEuBMYE5gqhIJbQp3Ul8E8Bow1VuD3UWVXPb8IjbuKQ1cVSIiItIuWRb87owhXD2hd1PNKoELgY8DU5VI6FK4kzrRwHuYFawatS2vnJ8//x3b8ysCV5WIiIi0e7ee2I87ThnYVJNa4Erg9cBUJBKaFO4EzKbkHwOTvDXYuKeUnz/3HTnFVYGrSkRERELG5eN68qdzhjbVxMYEvFcDU5FI6FG4kxTgc2CMtwardhZxxQvfk19WHbiqREREJOScNaIr/7pwBM4wh7cmNnA18HLgqhIJHQp3HVsa8BUwzFuDH7bmc+1LP1Bc6QpcVSIiIhKyThiYztOXjSLKGeatiY1Z2O2lgBUlEiIU7jquVOBrYLi3BnM35HLDq0uoqKkNXFUiIiIS8kb3TOaFq44mIdrprYkNXAu8GLiqRNo/hbuOKQXTYzfSW4MZq3dz6xvLqK51B64qERER6TCGZyby2rVjmwt404AXAleVSPumcNfxJAGzgKO8NZi+dAd3vbeSWrf+3xARERH/GdYtkdemjSXRe8ADE/CeD1BJIu2awl3Hkgh8SROLp7z+XRa//XAV+t9CREREAmFotwReu3YsSTERTTW7DnguQCWJtFsKdx1HAjADGOetgYKdSMdhWZAQ5SQlNoLkGCfJsREkx9Q99v85JiIMh2VhWeYcC8/XgGUd9DU0cqz+uVBZ46aooobCihqKPI9iz3NhefW+1+oelTUaGi7SERzRNYHXpzUb8G4Ang1QSSLtksJdxxAHfAFM8NbgrR+2ce/0HxXsRNopy4KM+Ci6JUeTEhtBUoyTlLqw1iDAOUmKiSDMYbV12c2qctVSVF7TIPSZMFjDjoJytuaVsy2vnNxS7cMp0p4d0dX04CXHNhnwbgSeCVBJIu2Owl3oiwU+A47z1uDdxdu5+/2VCnYiQc4ZZpGZHEPPlBh6pMbQMzWGHimxnueYppYV7xDKqlxsyy9na14ZWXvLycovY2teOVl7y9hVXKmfcSLtwJAupgevmYB3PfDfAJUk0q4o3IW2GOAT4ARvDaYv3cGd766go6ydYts27rJCbPf+7R1stwu7uoLaskJcBdnUlhcRf9QZhEUntGGl0pElRjvplx6379E/PY6+aXF0TYpuF71twajKVcv2/Aq25pWxLa/8gOcdBRW4OsoPQZF2YHCXeF6fNo4U7wHPBi4F3gpcVSLtg8Jd6IoGPgJO8tbgw+U7+dXby0My2BUtmk5EWk+i++xfFLRowdsULXofu7q8yXNjBh9H2ll3+7tEEWIjwhiemUT/jLoQF0+/9FjS4qPaurQOxVXrJruwko25pazYXsjy7YWs2FFIYXlNW5cm0mH5EPBcwNmY0Uki4qFwF5oigA+B07w1+GRFNre9vfywtjvY8fQ11Bbv8Xo89fRfETdsMtU5myn89jUqt60Cdy0RGX1JPGYq0X2PbvY9KnespnDe61TvWg+OcKJ7jiDp+KtwJndt8pycN+4l9ojj6fSzXwNQsvxz8mc8RcKYc4noMoDKLUspXfkl8aPPJqrXSCwsKrYuo2zNN3S99inCYhJb/hci0oyeqTGM6pHMUT2TGdUjiYGdE9QTF8S27C3bH/a2F7JmVzFVLi3wIhIogzrH8/q0saTGRXprUgmcCswNXFUiwU3hLvQ4gDeAi7w1+OzHXfzyzWWHPQypdNVXuKsa9oIVznuN8LhUulzzOFU717Lnnd/hiEki9ojjsawwytbNw5W/k9QpvyRu+Mler1++6Qdyp/+Z8KQuxA6eiLu6gtKVM7EcYXS+4mGcSZ0bnOOurmTXi7diu6roeu1TOKLiANjz/p/AdpN+we/3tc1+/haiegwj5eQbqa0sZdfzN5N84jRiB3udnijisyingxGZSYzqkcyonskc2SOJTt4/oLSVUiAP2Fvvee9BrxUBbs/DPujh62t1r4NZ4CkFSG7k0djrTW5+FUjVLjdrdxXv69lbvq2QLXllmssn4kcDM+J58/ome/BKMNNPlgSuKpHgFd7WBUirsoDHaCLYzVi9u1WCHUDc0MkNXitfvwC7qoyk02/DcoSR98UThMWl0uWqf+OIjAEgcfyF5Lz1W/K/+i8xg4/D4Wz4gde23eTPeBJnpx50vuyf+9rEjziNXS/fRuGcl0k7+54G5xV88yKuwl2kX/D7fcEOwJncldJVX1G5YzWRnftTsWUZrsJdOI86A4D8mU8T0XWggp0csszk6H1BblSPJIZ0SSA8zBHoMsqATcBOGoa2xp6DfXlJC7MolLcQ2BXoC/TzPPt1PGtEuIMR3ZMY0T1p32vFFTUm6Hl695ZvL2RvabU/yxDpUNbnlHDFC4t487pxxEc1eq8nHrMi+ERgXUCLEwlCCneh5X7gFm8HZ67J4RdvLPXbwgG2u5bCea8R0WUAMQPGU5O/E1f+DlJOuXlfsAOwwpzEH3Umez/8GzW5W4nsOrDBtWr2bqO2ZC9Jx11+QPhzpmYSM/BYKn76rsE5FVuXU7rsM2KHndRgyGfi+Iuo3L6KnNf3B8Lo/uOIG34K5RsWUrl5CV2vfbo1/hqkA4gMdzC0W+IBQyzTEwI2T24PJsA19tiD6SULFTamd7EU2N5MWwfQhf1hr99BX/tlhaSEaCcT+6cxsX/avtd2FJSzfFshc37K5Zv1ueSWBHuGFgluq3YWM+3lxbx8zRhvqwJ3AmYBxwJbA1mbSLBRuAsdNwEPeDs4Z/0ebnl9KTW1/vvcV7Z6NjV520i/+EEALGckSZOuJLrv6AZt7VqzUEH90HfA8eoKczwiusExR2QMttt1wGvuqnLyPv83YfGpJI6/GLvWhRW2/39vR1Qcna/4F5VZK6ktzsWZmklkt8HUVhST9+WTJE++jrC45EP7xqVD6JESw+TB6UwelMGY3ilEhPu1V86NCWtrgLWexxpgPWYIkjTkxvRY7qTh/BsLSOXAwFc/+KXRijKTY8hMjuGMEWZu8KqdRcxev4fZ63JZvr0gJBexEvG3RVvyuem1pTx7xVE4Gx8V0Q2YienB2x3Q4kSCiMJdaLgQeNLbwSVZBdz42lKqa/23EIBdW0Pht28Q1XMk0T1HABAe34nEcVMbtrXdlC77jPCUboSndGv0euEpmWA5KN+wkJgB4/e97q6pomLTD0Rk9DugfcHsF6gtzgUssp+ZhuWMJP7In5E06Uosh7nLZ1kOonuNPOC8/C+fJjKj374hprarBis8aKb4SBtyWDCqRzInDc5g8uB0+mfE++utdgLfAT+yP8T9RPAPmWxPbPbPJ2zY7W969YYARwNjgTFA/9Z686HdEhnaLZFbT+xPQVk1c3/KZfa6XOb+lEt+mYZwivhq9vo93PHOCh69aCSOxhej6gd8CUwCCgJanEiQULhr/04GXsPcmW5g/e4SrnnpBypqahs73GpKln1ObfEe0s65t9m2BbNfoGrnOtIv+D2W1XjvR1h0PHHDTqJ05Zc4ouKIG34y7uoKCue9jqtwN4nH/nxf2+qcTZSumIEjJpGEMecRFpdCxYaFFH8/HdtVRcrJNzX6HmXrvqVi8xK6XvsUFVuWkj/zaVwFuwhP7kLKSTcesI2CdAzxkeEcNyCNEwenc8LA9KYm8B+qGmAZsNDzWEDzww3F/4oxoe874HHPaykcGPbGYoZ+HZbk2AjOHtmNs0d2w+22WbGjcF+v3qrsIi3OItKMj1ZkExcZzl/OG+atyTDgU+AUzJBukQ5Fq2W2b2OArzELDjSwo6Cc859eQE6xfzsA3NWV7HxmGlGZQ0g7974m2xYteJvCea+SOPEyksZf3PR1ayrJ++RhyjcsOOD1iIy+dL7ykX3BMO/zxyhbM4cuVz+Gs15PYN7nj1H64yy63fgc4QnpB1yjtqyQ7OdvJum4K4jqfgTZL/6SmIHjiR14LGXr5lG+YSFdr34MZ2r3lvxVSDvUPSXa9M4NymBsnxRvw30OVQ4mwNWFuSVARWu+gQSMBfTiwLA3ilZcxCW3pIo5G0zQm7cxl+IKV/MniXRQN07qw2+mDG6qySzgDDQKQjoY9dy1X4MwG3c2GuzySqu4/Pnv/R7sAIoXf4C7opikiZc30+5DCue9SvyoM5oNdgAOZxRp595HTUE2rsIcCue9SnXOJlJOu/WAHr+q7HVE9Rh2QLADiBt5GqUrv6Qqe0ODcJf/5VNEpPcmfuRpFM59lbDYZDqdcYcZutlvDDufmUbZmjkkTbysBX8T0h7UDbecPDidyYMzGNB6wy1rgeXsD3ILMRP7dQctNNjAFs/jLc9rTkwvQf3ANwgvIymakxYfyQVHdeeCo7rjqnWzdFsh36zfw9fr9rBut6ZaitT3nzmbSYhycvMJ/bw1OQl4DrgC/RyWDkThrn3qjhlTntrYwdIqF1e++D1b9pb5vZDaihKKv/8fsUMn4+zkvZerZPkXFHz1HLHDTib5pBsabeMqzScsJnHfHLk6zuSuVOdspnrXBhKOuYjIzgf9ILcc2LUN73DXLdpy8PXK1nxDxZaldL3WTFN0u6pwOCP3BUbLEYbDGYVdo5t9oSLK6eDEQSbMteJwy3xgPvt75hZjtiKQjqMGWOp51C23mwhMAKYAPwN6H8qFw8McjOmdwpjeKdx92iDW7S5m+tKdfLBsJ3u0+qYIAP+YsZ6EaCeXjevprcllmJts9wesKJE2pnDX/qQCMzABr4EqVy3XvbKYVTuLA1JM8XfvYruqSTr2Eq9tSlfPJv/Lp4gZfBypU27Fshre1C5b9y17P/wb0X1Gkz71Dwccqy0vIn/m0zg79SRpQsMev6gewylZ9ilV2ev3batg226KF72PFR5JZOaQ/dcqLSB/5jMkTbqS8MQMAKL7jKbkhw8o/PYNYgdPpGztXGrytnsNodJ+HNk9iamju3PGiC4kNL4/UkutBj4GPsHMz/LvZFZpj4owoyo+A34JDABO9zwmcYibsg/qnMB9pydwz2mD+PanXN5fupMv1+ymssZ/C2WJtAe/+3AV8VHhnD2y8QXagN9ietxfCFxVIm1H4a59iQQ+ABodZO5229z+1nIWbsoLSDGukr2ULP2U+CNPbzDssU7Z+vnkffoIjshYIrsMoGTppwccj+p+BBHpfXBEx2NFxhKW0HBF8vwvn8JdWUr61Aewwhp+Lko85kLKNywk5837iBt+EmGxKZRvXET1rg0kn3QDYTGJ+9rmzXgCZ6cexI86Y99r0b1Gknjszyma/yZF898Ay0HSxMsbrKwp7UNafCTnHdmNqaO70y89rvkTmlYDzGF/oNt8uBeUDsXGbF+xHngEs9nyiewPe5ktvWCYw2LSwHQmDUynpLKGz1ft5v0lO/h+a74WY5EOyW3DHe+sIC4ynMmDM7w1exbYgRn1JBLStKBK+2EBr2CGGDTq3ukrefP7wC28V/TduxQtfIduNzx3QICqU77pB3KnPwhu74sCJJ94HQlHn+31eNmaOez9+CESjrmI5OO8z+lzleylcM7LVGxajLumkoi0XiSOm0rMwP3bKJSu+or8GU81WHhl3zVK83Hl78CZ0l173rUzzjCLEwdlMHV0JscPSCP88BZFycP0unyM6SUPTDe4dDQWMJT9QW8C0OjuzL7YUVDO9KU7mb50B1vzylupRJH2I9oZxlvXj2NE9yRvTUowe+CtCFxVIoGncNd+3A/80dvBh2as58nZGwNYjlGTv7PRoNRaSlfPpnT552Rc/GCjvXbSsQ3qHM/U0ZmcM7IbqXGRh3OptZgw9zFm/pyGW0qgJWEWgKgLe167IJqzJKuA6Ut38PHKbK24KR1Kp7gI/nfzBLqnxHhrshMYh+nFEwlJCnftwyXAG94Ovjh/Cw98vCaA5Yi0ncRoJ2eN6MrU0ZkMz/R6h7Y5LmAu+wPdptaqT6QVOICRmAVZLsHLUPzmVLlqmbVmD9OX7WDO+lxcbv2+l9DXNy2O6TePJzHa6w3hlZgePI3KkJCkcBf8xmP2smu0W2LG6t3c9NoS9DtbQpnDgmP7dWLq6O6cckQGkeGHNHrNhZk39xbwBWbhC5FgZwFHYZZzvxQvqyQ3Z29pFR+vyObtH7ZrWwUJeWN7p/DKtWOa+l3xJWYPvJrAVSUSGAp3wa0PsAjo1NjBlTsKueiZ76io0QgyCU3dU6K5cHR3zh+VSdek6EO9zCrMKmmvA3tarTiRwIvAbLFwBXAmh7jy5oJNe3nh2y18vW6PbgxKyDprRFceu+TIppo8D1yH9sCTEKNwF7ySMHN/BjV2MLuwgnOenK/9jiQkHdE1gZsm9WXKsC6EOQ5pP+hCzFDmF4El6Je3hJ5U4CJM0Bt7KBfYureMFxds5b3F2ymr1k1CCT03H9+Xu09r9GNUnd8CDwaoHJGAULgLTk7gc2ByYwdLq1xM/c8C1u7S0BoJLRP6pXLjpL5M7N9wSwwf2MBMTKD7AKhszdpEgthATMi7HC97oDaluLKGt3/YzssLtrKjoKLVixNpS389bxiXjOnRVJNLgTcDVI6I3yncBR8L+C9wbWMHa902015ezOz1Gl0moSHMYTFlaGduOK4vwzIbbqnhg03AS5itQra1Zm0i7YwDs1H6FcAFQIs2eqx123y5ZjfPz9vC4qwCf9QnEnDhDovnrxzNpIGN78eLuRE4AVgauKpE/EfhLvjcBfzD28Hff7SalxdsDVw1In4SGe5g6lGZXHdcH3qmxrb09HLgXcxcunlo2KXIwWKBczFB7yTMjUOf/bA1n//M2cTX6/Zoc3Rp92Ijwnj3xmMY0tXrDcTtwGg0L1tCgMJdcDkHmI6XX8IvLdjKHz5aHdiKRFpZQnQ4l4/rxVXje5EW3+K96b7FDLt8F7MhrYg0LxOYBtwEeO2+aMz63SU8M3cTHy3P1lYK0q5lJETyv5snNLU41zzMjZDqwFUl0voU7oLHEMzKmI0Oo5m9bg/TXllMrX65SjvVOSGKayf25pIxPYiLDG/JqeXAc8CTwAa/FCfSMUQCFwO/Aka05MSdhRU8N28zb32/XSs0S7s1uEs87980npgIr7+DngZuDmBJIq1O4S44JALfAwMaO7h2VzFT/7OQ0ipXYKsSaQX90uO44bg+nD2yGxHhjpacuhd4HBPq8vxSnEjHZAHHAbcDZ9OCIZsFZdW8vHArLy/YSkG5tgiT9uf0YZ156udHNdXkBuDZAJUj0uoU7tqeA/gfcFZjB/cUV3LOk/PJLtLCf9K+HNUzmRsn9eXkIRktPXUr8C/MfLry1q5LRA7QF/gFZhGveF9PKq1y8cycTTw3b4t68qTdueOUAdx6Yn9vh2uAE4D5gatIpPUo3LW9+4E/NnagqqaWC59ZyIodRQEuSeTQDe2WwH2nD2Z8304tPXUFZjGhdwB1U4sEVgJwPWbIZldfT9pTXMmjs37incXbNSdP2g3Lgv9eMZqTBnu9+ZiDWWBlR+CqEmkdCndt63TgE7wMibnr3RW8u0Q/V6R96JoYxZ2nDuS8UZktPXU2JtTNQKteirS1SOAy4G68TBVozKbcUv7xxXpmrN7tt8JEWlN8ZDj/u2UC/dK97hiyGDN8WZs/SruicNd2+mF+cDS6Lu+rC7O4/8NVga1I5BDER4Zz0/F9ufbY3kQ6w3w9zcasDPsPzHxTEQkuYZj5eL8Bjvb1pKVZBfz187X8sFX75Enw690plg9vmUBCtNNbk9cw24now7K0Gwp3bSMW+A4Y2tjBxVvzueS/31FTq/82ErzCHRaXju3BbZP7kxrn85YG1cDLwD/Rypci7YGFmX90D3CKryfNXJPD379Yx8Y9pX4rTKQ1HD8gjReuOhqHw+u6QncADwewJJHDonAXeBbwJnBRYwf3FFdyxuPfsqekKrBVibTAKUMyuGfKIPqmeR3OcrBizBLT/wZ2+a0wEfGnUcCfgSm+NK5127y7ZDuPzvyJ3cVaFEyC142T+vCbKYO9HXZjbmx8FbiKRA6dwl3g3YHptWigptbNJc9+x+IsDWeR4DQiM5H7fjaYsb1TfT2lEPg7JthpZSCR0HACZkj1aF8aV9bU8sK3W/jPnE0UV2qtJAlOj108krNGdvN2OAcYCWhSqQQ9hbvAOhGYidn+oIH7P1jFq99lBbYiER9kJkdz16kDOdv7L76D1WD2p/sz2qNOJBQ5gKnAX4A+vpxQUFbNE7M38urCLKpr3X4tTqSlopwO3rtxPEO7NboUApjFv04GtPeHBDWFu8DpDiwFGl0f/r0l27nz3ZWBrUikGQnR4dxyfD+umtCLyHCfF0t5D7gX2Oi/ykQkSERgtlD4HZDmywnb88v555fr+WhFNvoIIsGka2IUH916LJ28zyP/I/D7AJYk0mIKd4ERDnwDTGjs4I87irjgPwuoculOpgQHZ5jFZeN68ssT+5McG+Hrad9hhh0v8F9lIhKkEoA7MT8DYnw5YXV2Efd/sJql2zQVQYLHMX1Tef3asd4WWLGBUzGjsESCksJdYPwZ+L/GDuSXVXPm49+ys1DbqEhwOPWIDO6dMphenWJ9PWUzZiW999Fy0SIdXWdMz8Z1mO0UmuR227z6XRYPzVhPaZXm40lwuG1yf351stdtHnMx8++yA1eRiO8U7vxvMuYOT4NbQLVumyteWMT8jZqSJG0vLT6SP58zlFOP6OzrKQWYISpPA1reVUTqGwg8CJzvS+NdRRXc/8EqZq3d49+qRHzgsOCVa8ZybP9GZ9IAzAFOAnRHQoKOwp1/ZQDLMXcyG/jHF+t46ptNga1IpBFTj8rkt2cMIdH7Rq71VQOPYz64aTyVSJBYsmRJr7CwsOsdDscU27aT27oeAIfDERkWFpZsWZZPm2FWVNdSWFFDrVufTfyhrMbN4p0VzNhYRm651gVpSqe4CD775UTSE6K8NXkQ+G0ASxLxicKd/ziAzzBjsxuYuyGXK1/8XpPJpU1lJkfzl3OHcdwAn9ZBAHgbuA8zFFNEgsSSJUt6OZ3O6RkZGUlJSUklERERNZbldVPmtpAIZAJePynXcbnd7C6sJL+82v9VdSC2bYO7ltqqcrKy9/CXuXsV8JpxTJ9UXps2ljDv8++mADMCW5VI0xpdkl9axZ14CXa5JZX8+p3lCnbSZiwLrhzfixm3H+drsJsPHANcjIKdSNAJCwu7PiMjIykjIyM/MjIy2IIdmH0uVwNZNDOULdzhIDMlhj6dYokM18eU1mJZFlZYOOExCfTsms6p/XyeV91hLdycx6OzNng7bAGvAT7vESQSCPqp6R/jMN31DbjdNre/vZy9pbojKW2jT6dY3rnhGB446whiI8Oba74JM2dmImY1TBEJQg6HY0pSUlJJW9fhg73AKnzY/zIuykn/9HjS4iOxGk5bl8MQFhnD6G7RbV1Gu/Dk7I3M3ZDr7XAn4E3MqugiQUHhrvUl0cQ/9KfnbNICKtImwh0WNx/fl89vm8jRvVKaa14L/BUYCkxHq2CKBDXbtpMjIiJq2roOH9UCW4GfMHN4vXI4LLokRtMvPZboCJ/32pTmOMKIdeojoC/cNvzq7eXkFFd6azIRs7iYSFDQv+zWZQHPAb0aO7h4az6PzPTavS/iN0O6JPDBLRO4+7RBRDqb/YC0AhiDmVvn9beZiASXIByK2ZxizFDNnOYaRkeE0y8tji6J0Tja3/cZdNrh/yttKq+sml++uayphX5+A0wKYEkiXincta7r8bLsc1FFDbe9tRyXVgCTAIoMd3DHKQP48BcTGNotsbnm1ZiVv44Glvq9OBERcAM7gLVAeVMNLcsiLT6SARlxxDc/pFykVS3aks/D3m/QW8ArmIWDRNqUwl3rGQY86u3g3e+t0EblElCjeiTx6S8ncuuJ/XGGNftP/TvgSMxc0fYytEtEQkc5JuDtoJlh4BHhYfROi6N7cgzhja9iKOIXT33T5Py7HsBjASxHpFEKd60jEngDL0s8v7xgKzNWNzvqRKRVRDvD+N0ZQ3jvxvH0S49rrnk5cDtwLLDG78WJSEhyu92Ul5e3RtLKKSsrW7Np06bSvLym56cnx0bQPyOe+Mhw9uzexeoVy2hse6d//+0BXnz6361Qmu9qag68R1ZSXMTKZYvZuX3bIV3vmUcf4sN33mjw+tpVK/n8g/fYkbX1kK4rLWN75t/lllR5a3IFcEEASxJpQOGudTyAWXiigTXZRfzls7UBLkc6qqN7JTPj9uO45tjeOJq/o/0Vpsf535gFDkSkA9iyZYtz0aJF0StXroxcv359xKZNm5xbt251btu2LXzbtm3hWVlZzo0bNzpXr14duWjRoug1a9ZENHfN1atXR3bq1GnkSSed1LelIW/hwoXRLtf+3RHWr19Pv3794qZNm1ZGMz+bnGEOeqfFsXjODC4940Tu//XNDdrMmfkF2T6Eqpxd2eTn7aW4qIiiggLycvewI2sr61b/yII5X/PhO2/w2N/+yC+vvoQLT51IWan3xUkfeuA+JgzpwdpVKwEoKy3h8rNO5rP/vXNAu5qaGj5+/y2eeKjhAtsL587m3luvw+1289kH75K1eSN5e3OZdtFZzJ89C4C5s2bwm1uvY8smzecPlLyyau55f2VTTZ4BugaoHJEGNGj98I0H7mrsQFmVi1+8sYwqlzvAJUlHY1lw43F9ufPUgd42W62vGLgDeB6tginS4UyfPj3xzjvv7Olr+1tuuWX3E088sbOpNvPmzYutqKhwZGRk1MTExLTo58p5553Xr7q62jF9+vSfJk2aVB4XF+cG6N69ezGwEegONLnE75Lv5hMWFsZNt9/d4FhkZBSWo/l72a888wSvPf/0vj+Hh4cT/Y6QJwAAIABJREFUGxdPRUU5iYnJ9B04iOjoGKKio+nZpz+ff/g+F/z8qkavlZySimVZDB46HICISDOwJzE5hfLyMlYs/p65X83gi4+mk783l5jYOMYeO4mjjzl23zUKC/L57IP3uOH2u4mJicXhcPDJ+2+zdeNPHDlmHAAb16+la/ceTDzxlGa/P2k9X6/bwxuLsrh0bKP/jFKAFzAbnOt3rAScwt3hiQVexksP6B8+Ws3mvWWBrUg6nKQYJ/+aOoLJgzN8af4RcDPQ5Ac1EQldsbGxbvh/9s47PIpy7cP3zNb0TugEQscAoUgEjhUsiAIqgigeOGA5Ih+oCAcbYkGPBRBRFMEuR1TAgoKAIiBFegm9t5AE0rPZPvP9MUlImQ0BYSHJe1/XXMnO+87Ms5vN7vzep4HNZttcJMT27t1rbtmyZcKCBQv29e3bt9glFR0d3S4wMPCcK5RLly4NBXjqqafSz8eW5ORkS2pqqrlLly551113XQGAwWAoeUPsAQ4DmWg5TeW8iF6vl2XLljFgwAASm9bjUGoaisGCyWLGaDBqwk5V8Xg8KF4vHo+bApv23RxdS/vcPHn8GMNGPsm/RozGbLFgtQZgMmuXGta/N3FNm/H8a1OKr6koCk6ng6zMDFxOB7F1SvexNhpL314VVad8781Xef35sdSp14COSd148tmXaN+pCw3iGpea73Q4aNuhM3MXr6Reg7MCIukf15HYuQsetwdFUVi/egWBQUGM/7+HtdfC48FkNvPq1A8q+RcQXCiv/Lyba+KjaRyt2wz+FrTv2vf8a5VAIMTd3+W/QFO9gSU7U/l20wk/myOoabRvEM70QYnUjwg819QzwEhgLmIlUSCo0ciyrALs3r3bYrFYVICjR4+aAE6cOGFOTk62FM31es8dse3xeFi+fHn4Nddck9uhQ4fzap8ya9asKICoqCjPM888UxsgNzfXALBu3bqQMWPG1FEURfJ6vbhcrixVVUM/+OCDUt23f/rpJ7Kzs+nZsyfT353Gq6+WD3HcuW0zcz+fXWpfr379eW3aTDweD726tit3jCzLSJKE1+tl019rWPC/LwBN2JXM7QsJDeXPnUcBeHzIAE4eP0ZeTg4FNhv9b+5Obk42Xy9aAcDtd93Lvx4bXSwqi5j72SyaNG9Z7Ln7/def+c/jw4vtUBSF3cnb+OjdtwFo0KgxE996l+ysTLrf2JOw8Aj+WLoIk8ksvHh+osDl5cm5W/n20Wsw6hctewst/WGPfy0T1HSEuLtwegAj9AYy8p08s2CHn80R1DSGdI3jmV6tMBvPGW70P2AU4LPEl0AgqHl06tSpTdl9I0eOjKvomFGjRtVVVRWr1aqazWZFlmVOnTplysnJMYSFhXlfeOGFUqrF7XZLBQUFss1mk61Wq1oyvDMzM1P+4osvYqxWq7JmzZqQNWvWhAAoiiIB7NixI3DPnj0BReLO7XbLAB988ME+oDFgApg27WyBwrvvvpvExESCgoL45tvv2HfwMKmnUjAYDFgDAhk9fgIulwubLZ/IqGhA87It+H0dQcHBmC1WTCYTBqMRo8EIksQj9/Ulrmkzxr/0Bqqq4vFqHkCXy4Xb5cTpOFtco/v1PXA47GxZv461K5fTq19/cnOyMRi0263QsHDCIrQIU4/HQ15uDsePHGLW9CkEh4Yyf9kaJEniHzf2ZNHabeTm5PB/QweiqnDrnXeR1P066jWKw2q18vbLz1O7bj1envw+siyza/tWWiW0Y8wLr1T2LSD4m2w5ns17yw8wqkdzvWEr8CVwDaIKtcCPCHF3YYQBn/gafPb7ZM7ku/xojqAmEWIx8t972tIroc65pmYA/0ILxRQIBIJSVDYss+QxX3/9dXR6errJYDCoJpNJNRgM2O122WAwqH/++Wfon3/+GQrg8Xgkh8MhBwQEKKqq4nK55OjoaHdJcffUU0/Vy8rKMi5ZsmRPjx49inMYDh48aGratGnbhx56KG3atGkpJa/vcDgktOiDXUDj9evXhy5fvrx4PDExkcTERADef/99etxwLT/89DNNmrdi6S8/0KZdB6wBpRx/ADRp1gKAiWNHseyXH7EGBGI0GpBlA6fTUtm7awfr/1wJgNfrweFw0P2Gnrw8uXTU3cAhDxXO8bLpr9UM/fcoAFRVJSGxEzMmv86Mya8jSVIp719UTC1efOOd4vDN4JBQTqelMuaRf9Ln3vv5bdFPqKrKVx9/QNqpFP7z8hv8vnghTzz7EnJhPmF2VibRMbV8/bkFl4h3fz/AdS1q0b5BuN5wR+AF4Hn/WiWoyYhqmRfGO0B9vYEFW06yODnVz+YIagqt64Ty48julRF2a9H61glhJxAISqGq6gW3LNizZ0+yy+Xa5PF4Ntvt9i0HDhzYbjablXHjxqXk5eVtLdruueeeDIPBoKampm6z2+1b3G73pn379iUXneeTTz6J+PTTT2sNHDjwTElhdy6sVmuRIvLk5+cfGDp0qPuGG24oN89ut7NixQo6JCZiMcqEhwTSoFFjVixbXOH5ZYNMk2bN+ebXlcz5eTlf/rSMVgltufGW3nzx41K++HEpc35eTmRUNGbLOYuIArB98wYkSeKLH5bw6187+G7par5etIJvfl3Jgt/XsWzjbn7btId2Ha8GwO1yMWXSBAbceh21atfh4VFPYzKbkSSJyTO/oEWbBF7+zxPUqlOXdauWs+r3JSiKQsrxY9RtUOk6OYKLhEdReXLuVuwunyHMz6B57wQCvyA8d+dPH+CfegOpOQ4m/JisNyQQ/G0Gdm7AxDvbYDEZzjX1bWA8IgxEIBDokJ+fLwMEBQV1KDvWr1+/cvFldru9eCE4IiKiVHGVKVOmxCiKIj3++ONnSu7//fffw1q3bl0QGhqqgJY3FhYWVnzs0KFDs5o1a7a7devWjgMHDpgkSSI4OFixWq1q0fU8Ho+Um5srO51OKTc3V/Z4PFKLFi2Kw2JWrVoVtH//fuPMmTOPdO/ePa7k9T///HO8Xi89evRg0qRJBJgM3HvP3Xz83hR69LoTg0H/c9RoNLF980Zuu+asw9LpsJO8dTNLf/mx1L6OXbrqnqMIl9PFI4P6cWj/Pn744y8O7N1NWEQkgUGl+4/m5+WSmnKShMSOAJjMZtq0TeTq7tfy3+mzWLvyd5q3uoqbbuuNNSCASe98yOz3ptCsZWumv/kqmWfOcPLYUZxOB02a6YYHCi4xh87YePXnXbzSL0FvWAa+ANqi9ZYVCC4pQtydHzHATF+D4+ZtJ9fu8TUsEFwQASYDr/S7irs76DqLS5IDDAG+v+RGCQSCKkvfvn1zkpKSdoWEhChWq1WVZVkdP358vUaNGjkff/zxMx6PB0VRJKfTKdntdjk8PFzXJZGTkyPPnDkztlevXpl16tQp/vJbvHhxcEpKivnBBx+sMM+3e/fuBQB33313kz/++COs7PiMGTNqz5gxo3bR4w4dOuRv2rRpb9Hj2267LX/dunW7EhISHECcx+OxAwFut5vJkyfTt29fAgPPFpsa8uBgXnpxArPfeZ2Hn3xW1yZJkuhw9TXM/nZh8T69apn33vKPcsfa7QV889lskrdtYf3qFbhcWi7eY0+NJy83l8F9fBc66dL9Omb+7+xHd1L362nboRMet4cVyxaz/NeFPP70MxTY8vG4PdzSux/1G8Uxf87nnEo5wbbN6zGaTMQ1aebzGoJLy5d/HeOmVrHc0FI3NDYeeBmtDZFAcEkR4q7ySMAMQPe/9qt1R1mxT9SrEFxcmtYK5v37O9A8NuRcUzcD/YFDl94qgUBQVcnNzZVlWaZFixauwMBAxWw2q7Iss2TJkvDevXtnxsXFuRVFwe12S06nU7LZbHKRp68sixYtCsnPzzds2bIl+P333498+OGHM41GI2+88UZto9GoDh8+PKMyNj344IMZt956a05wcLA3MDBQzc3NlUePHh3Xq1evrIEDB2ba7XYpOzvbGBwcXE5kdujQweF2a0EKBQUFaYDxlVdeqX/w4EHmz59fam6jRo0YOnQo7015i3p16nDHoGEoauniwR63G4/XQ25Oztl9Xg9ul7vUvsICL6WOtViszJz2Ji6Xi/qNGuP1evhwzgIAzqSnATDloy+58dbbSx337wfuKfeaLP5pPq8+c1YHGAwGbrumXanqpduOZ9G89VVsWrea40cO0a5DZyxWq84rLPAXY+dt59fR1xIZpBuy+wTwLbDOv1YJahpC3FWe+4C79QaOZRTw6i+7/WyOoLrTt309Jt11FYHmc/6bzgCeBM6rBLlAIKh5/PDDD6EPPvhgvN7YnDlzYubMmRNTdn+jRo2cR44cKZdzMHDgwJwOHTokv/jii3VGjRoV99///rduz549s5cvXx42ePDg0/Hx8ZUKDR86dGhWyccHDx40jR49mvj4eMfgwYOzK/vcAObNm2d/7bXXGDRokNKkSZNSolRVVSZOnMi6det4ZuxTbFq/jjEvvkFg2NlCGHZ7AVs3/MX17eIxGk1IsozL6SB5yyYW/zAPRVVQvF68Xi9NW7QqdW1Zlnl41FhuuaMvPy/4lk/en1rOvjOn0zh2uPQanMNegDWgdDubO++5jzvuGchfq/7guScf49d1OwgKDmH2e1P4fu5XzFn4GwBdul3LJzPewWQy8+gT487npRJcAk7nORk/fwcfDu6oNyyhNTdPBJx6EwSCi4EQd5UjGq2ISjkUReWpb7dS4DuRViA4LyxGmQl3tGZQl3MmxtuAh4E5l94qgUBQHbj55pvzVq9evSsoKEgxmUyq2WxWX3jhhToLFiyI2rp1686AgIBSOXV9+vRpajabfTYxb968uWvOnDlHn3322dRBgwY1nj17dixA27ZtCxRFKa7k6A9SU1NN48aNa1i/fn1H+/btTwcGBjaQZRlVVdmwYQPvv/8+TZo0YfXq1dx4441s37aV+Nhg8lQj+U4PLqeT/g8MZei/RxEUHIzRqLVEeGL4/TSMi+eJ515C8Xpxu13k5+aSl5eL2+UqbnYO8M9HHq/QxpLeuJJ0ve6mUo+LKnp+PvM9oqJrsXDeXFoltOP7uV/R+64BhIRqUawdunQlOqYWp9PT6Hvv/X/n5RNcJH7dmcrCbSn0bldXb7gV8ByieqbgEiLEXeV4E03glWPWn4fZcCRLb0ggOG/qRwTw4eCOtKlbLv2kLDuBexDNUQUCwXkQGxvrjY2NtRc9XrhwYch3330XPWzYsLSSxUqKSE9PNyUlJeWV3V+S3NxcedasWVE7d+4Maty4sSMsLMz79NNPN/rss89iXn/99eO33357ftljHA6HJEkSRU3UK4vD4ZDcbrcUEhJSLDg9Ho8EULt2bfeYMWNS+vXrl1OnTh1Ply5d8iIjI8MHDBhQt23btjz//PM4HA5iY2P5448/OHHiBDHR0USpKiez7CQfP8Y/+91afC2j0YjBYMTtdpG8dTNLFn6Poiq4Xa7iNgZL1icTW6depe2vbFgmaM3SHxk9ln27d7Jmxe9Meu5pAPbu2sHu5O20uqot8//3OakpJ1EUhbdefo6nJ7xaLPwEl48JP+6ka9NoX+GZ44F5wFb/WiWoKQhxd25uRCtSUY79aXm8vWSv3pBAcN60bxDORw92IibEcq6pnwGPIapuCQSCCyQvL0+eNGlSrcmTJ9dNTEzMnzp1akrZOdu3b7ekpKSYW7VqZdc7x6ZNm6xffPFF5Oeffx6TlZVl7Nu3b8bHH398LCwsTHn77bejJ06c2KB3794tbrrppuwpU6acSEhIKA5FmzlzZuSoUaPizGazajabFaPRqBZVsFQUTbfNmjUr9ssvv4xRVbW4b57H45EGDx58+vPPPz9WdC6bzVbsHnz55ZfTin4vLPJidzgcUQaDwdiiRYviEpkxMTHExGgRqLIkceboXixeF58tWEx4RCRBwSEYjEYkSWL0sEE0jIvnyedfRlVVVEWhwGYjKyuDrMxM8nJzi0M0jx85zL7dO1n5268gle848cRDD+j+Pcp67gDsBTZCw8JRFIVDB/YRXSuWR0aP5afvvmZ38jZmT5/M0p9/4KGRTxEUEsLUSS/y26Ifub3fvYx54VXMlnN+lwguERk2Fy/+uJNp9yXqDRvQwjOvBkQVPsFFR4i7igkAPtQbUBSVcfO24/T4jFYRCCrNrVfVZuqA9lgrbnPgAEagfSkIBALBefPxxx9HzJ8/P2L58uVhTqdTGjp0aPq0adNOlvSgDRkypMHSpUvDMzIyTAC9evXKLRo7ffq04aGHHmq4YcOG4JSUFLMkSSQlJeVOnDgxpWfPnsX96p5++ukzffr0yR00aFDj3377Lfz5559Xvv/++8NF4w0aNHD37NkzOyQkxBsQEKBYLBbVbDYrBoMBSZKQJElVVVXyer14PB7J4/FIdrtdzs/PlxMSEkotbGVnZ1cY+5mfny+lpaXloTU/j9Cb079/fw4ePAiA2WLBYDBiNBpAkjDIBg4f2M/ypb+AquJ2e/B6PbhdmqOzU1K34uqaDnsBTz48GKBUTp7brc19dtLbJHW/vtS1J4x5HJezdMr0mxOf5ctZ7wNQr2Ej7rh7IPcP+zfBISFs/msNL48bTWydurzz8Ryu73kbAPHNW/LSuCeQDQYh7K4AftyWwp3t69KjVazecCIwGnjLv1YJagJC3FXMs0BTvYEv1h1l87HzyvMWCHR55NomjO/V6lzT9qOFYW6/9BYJBILqSlJSkm3ixIn1+vfvf2bs2LFprVu3LheKOXz48IwNGzYEJyQk2AYMGJDVtWvXYs9dTEyMNzQ01BsREeHp379/xtChQzPatWunWxyiefPmrnXr1u2dMGFC7XHjxqWXHOvXr19uv379cvWOO19SU1NNFY1HRkZ6CittHkFLsWiIVtyimI0bN2KxWLBarRS4vBzNsOFRKo4YVRQFh8OO13PW+dKsVRvadexMoybNGPLoyOL92Vla+kZ0TCwNGzcpdZ7WCe3JOFPq5eHJ514ivnkL2nboXK5wy7ART9C249Xcfd+DpapjXnvTLXy/fB0uV7k/qeAy8eyCHVzdOJJQq+5b9CVgPqLKteAiI6nqeYW71ySuAragI4BTcxz0mLyCfKfwpgsuHKMs8VKfqxjUpeG5pn4LDAcuyo2QQCCofmzbtu1Iu3btzpx7pgAIQes75jNUwun2ciSjAKen+hZLSzt2iId+PHW5zaj2DOjcgP/e3dbX8FLgFjSvskBwUfBfGauqhYzWrFzXsznhx2Qh7AR/ixCLkY+HdD6XsFOBMcAAhLATCASCi0UeWjEqny4ui8lAfEwQQeduRSMQVMjcDcdZd8hny8eegH4ipkBwgQhxp88jwDV6A7/uTOXXnWl6QwJBpagfEcC8x7pybfNy7aRKYgfuAt5GrOgJBALBxcYB7EZrKaOL0SDTOCaI8EDdiocCQaUZP38HTrdPL/AUoMIbAoHgfBDirjx1gdf1BvIcbib8sNPP5giqE23qhrLgsa40jw2paFoqcC3wvX+sEggEghqJB9gH+OxnJEsSDSMDqRVi9TVFIDgnh8/YmPb7AV/DUWgttwSCi4IQd+WZBoTqDbz5615Scx16QwLBOekaH8XXDycRU/FNQjLQBdjoH6sEAoGgRqOgFbSoMCSndpiV+hGBSDrtDQSCyjBz5UH2pPrMsPgn0NWP5giqMULcleZO4G69gS3Hsvhy3VE/myOoLtzRtg6fDr2aEP2KWUX8CnQDjlU0SSAQCAQXnROc47M3MshM46hADLIQeILzx+1V+c+8HSi+q7BOp4IiPwJBZRHi7izBwHt6A26vwvj5OzhHVWSBQJeh3eJ4d1AHzMYK/90+BHojCqcIBALB5eI0WtsZnw1sg60m4mOCMRvE7ZPg/Nl6PJsvfDsKEoGH/WiOoJoiykCdZTxQX2/go5WH2JOa52dzBNWBcbe24N/X67ZKLMnTiMIpAoHg0tDxchtQSTZdbgMKyUWrpNkM0A21sJoMxNcK5mhGAQUuUTlbcH68vWQvt7etQ3SwbqP5V9HaH4m2JoILRiw9aTQBntIbOHLGxju/7fezOYKqjlGWeLt/u3MJOzdwP/AWQtgJBALBlYIdrZJmga8JJoNM42jRKkFw/uQ6PPx38R5fwxHAJD+aI6iGCHGn8Tagu4Ty3PfJOD0+IzQEgnJYTTIfPdiJuzvqOoKLyAduB+b4xyqBQCAQnAduYC+Q42uCQZaIKyPw0lNPsXPbFlS1/HrdO69P5JMZ71wKWwVVjO82nWDLMZ9FWocDnf1ojqCaIZacoAfQV29gUfIp/jwgPOOCymM1ycz+Z2e6NY2uaFo60IsrJwxJIBAIqiyHDx82paenGwMCAhSLxaIajUbVYDAgy7IKoKqq5Ha7cTqdcn5+vhwSEuJt3bp1uQbmL730Uq0bbrghv1u3bgWyLIOWe3cAaEiJPmT5+fkEBARgMBiKBd6RDBs2p4ffFy/ktefHcsc9A3llyoxS51+xdDEdu5y7IGLaqRRMZjNGowlVUfB43NgLCsjPzyPzzGlOp6Vy9NABDuzdTWrKCT6Z9wtBwRW21xFcYagqvPDDTn4Y0Q25fIEeCa0GRBIV5H8KBL6o6eLOBOguozndXl79ebefzRFUZSxGmZmDO51L2B0Ebin8KRAIBIK/yfz588PGjBnTqLLzR4wYkTp9+vSTJff99ddfARMmTGjw008/5S9fvnxfcHCwCpCTkyPv378/ff/+/dKOHTui16xZw5o1a3j33Xd55JFHgEIPXpQm8DauW43BYOCh/xtT7roWixVJPnfA1OcfTufL2WeFodFoJCg4BLu9gLCwCOJbtCQgIBBrQACNmjRj0Q/zuOf+IZV9+oIrhB0nc/jf+mPcn6T71u0M/AuY5V+rBNWBmi7uHgNa6w18uPIQJ7LsfjZHUFUxG2Q+HNyRa5vHVDRtM5rHrsJ+SgJBFUIGrGU2GS1XyVb4033ZrBPUCIKCghQAm822OTAwUAXYu3evuWXLlgkLFizY17dv3+KKaNHR0e0CAwPLeUPmzp0bYTQa1U8//fSI1WpVg4KCEl0ul+TxeCSTyaQajUbV4/HwzDPPMHjwYOrWrVvqeIMs0SDcyl9/ruCWO/oRGhZOasoJAgODMVnMGA1GTdipKh6PB8XrxeNxU2CzaXbVigXg5PFjDBv5JP8aMRqzxYLVGoDJbAZgWP/exDVtxvOvTSm+rqIoOJ0OsjIzcDkdxNapd5FfXcGl5M0le+mVUIeIILPe8OvAfCDTv1YJqjo1WdzFABP1BlKy7cz4QzhWBJXDbJCZ8UAHrm9Rq6JpS9F6KIqyq4IriUCgns5WFwgBAigv3kpuunckZXBTWuyV/L3kz3wgBTiO1m/seOFjUY7wEhD3n58vy3WPvH77RT9nUfjl7t27LRaLRQU4evSoCeDEiRPm5OTk4px6r9db7niPx8PcuXOj+vTpk9mmTRsngCRJPPbYY6nPPfdcWkxMjPeJJ56o+/nnn8e8+OKLR9GKsJWLpfvl54Xk5mRz3Y038dWsGXz07tvlrrVz22bmfj671L5e/frz2rSZeDweenVtp/f8kCQJr9fLpr/WsOB/XwCasCuZ2xcSGsqfO0U/3qpEdoGbt5bs5dV+CXrDUcDLwAj/WiWo6tRkcfcKEKY38PqiPdjd5b8ABIKymAwS0wclclOr2Iqm/QTcA5TL8RAILiHBQHO0Fi964q0eEO4HO0xon7W6n7fnQAFOcVbsFW0lH59G5KUIgE6dOrUpu2/kyJFx5zpuxowZUSkpKeaGDRsWf0YbDAY1KChIiYmJ8QJ4PB4pMDDQC2QDh9AReNOmTQMgOshCq779aHlVWwICAvlt8UJSThwnPTUFg8GANSCQ0eMn4HK5sNnyiYzSQvmNRiMLfl9HUHAwZosVk8mEwWjEaDCCJPHIfX2Ja9qM8S+9gaqqeLyaB9DlcuF2OXE6nBf82gkuH/9bf4yBnRuSUF/3I/JRtNDMLf61SlCVqaniLhF4SG9g/eFMftyW4mdzBFURoywx7b5Ebm5Tu6JpvwD9EcJOcOkIAloBbQq31oU/4y6jTRcLmbOC9Bofc5xofcm2ltmy/WGg4MqhsmGZJY/JycmRX3nllXKxjEXewCICAwO9Xq+3SMxlK4pyyG63NwkKCpIA1q9fz/LlywuPlbj9+q4cSWhHvtPD3M9n075zF/78fSnNWrZm6S8/0KZdB6wBAeWeQ5NmLQCYOHYUy375EWtAIEajAVk2cDotlb27drD+z5UAeL0eHA4H3W/oycuT37vg101weVFUmPBjMvMf66Y3LAPvAv9AtEwSVJKaKO4kYBo6IRWKojLxp53+t0hQ5TDIElMHtue2q+pUNO1XtFBMsZwquFjEoC1OdSj8mQg0RefzrAZhAdoVbv8ssf8IZ4XelsKfxxE3SNUOVVUv6P2vKAr33HNPY7fbLQUHB5cL13njjTfqvv3223VBC+f0er2S2WzuoCiK5PV66d69u33VqlVWu90uPfTQQ9xwww2lBF5cVBB7Tpxh01+rueu+wfz5+1JMZjMNGjZmxbLF3HJHP5+2yQaZJs2aM3X22W45o4cNomFcPE8+/3LxvuH33oHZUpnoaMGVzOZj2Xyz8Tj3dmqgN9wNrar7Av9aJaiq1ERxNwDorjfw9Ybj7EzJ9bM5gqqGQZaYcm87eretW9G0ZUA/wOEfqwTVECOaiLsR7cs9Ec2DdUXhcXnxuBW8HgWvW0FVwWSWMZoNGC0GvTLf/iKucCvZ6iaL0mJvLVrlWiH4qjD5+fkyQFBQUIeyY/369Wtedp/dbpcBvv3227Bly5aFv/zyy8enTp1abqXu9ttvz+rbt282wIYNGwJnzJhR+9133z0iSZLqdrul8PBwL8D69evj9+zZI61Zs4ZOnToVHy/LEit+nofiVejyj+uZNV0rhHLTbb2ZPX0yPXrdicFg0H1ORqOJ7Zs3cts1Zx2NTofIsEkJAAAgAElEQVSd5K2bWfrLj6X2Vaa9guDK57+L9nBrm9qEBpj0hl8HFiIKVAkqQU0Td4HAm3oDuXYtqVUgqAhZgjfvacud7Su8x14O9AFEuVXB+SADbYEb0ATdtUDopbyg4lWw5biwZTuLt/zCnw6bWxNthVtJAVe833PuVDfZKGEyGzCaDZgsBoxmufix0XL2d0ugkeAIC8ERVkIirQRHWAgIuegeiQi01/eGEvuOoi3GLAN+R+tDKahC9O3bNycpKWlXSEiIYrVaVVmW1fHjx9dr1KiR8/HHHz/j8XhQFEVyOp2S3W6Xi0TZgAEDcvbv33983Lhx6Xrirk2bNvahQ4dmATRt2tQ5Y8aM2j169MiLj48vdYN93XXXHdyyZUt88+bNS61kuN1upk6dQt++fYkJP/uv3Ktff957axLvvzWJkeOe131OkiTR4eprmP3twuJ9etUy773lHxfykgmuQDJsLqYs28eEO8qljoKWPz0cmKE3KBCUpKaJu1FoxQXKMXXZPjJtIi1K4BtJgjfuactdHXTfQkWsAO5AqwAoEFSEBLREE3I3ANejVUe7aOSctpNz2l5KuBXkOMnP0h7b81yol9hnpXhUnB4PzoLzL3ppNMkERVgIibASHKkJv+BC4RcSYSE40orZ+re/xhoBwwo3gO2cFXur0Kp4Cq5QcnNzZVmWadGihSswMFAxm82qLMssWbIkvHfv3plxcXFuRVFwu92S0+mUbDabXOTpA3juuecqFPOKorB27dqAtm3bOmRZZuPGjYHx8fE5ZabltG7d+qDb7Y6nRIj0K6+8wsGDB5k/fz5xUUEYCq9at35D+tx7P7OmTyYyphb3/+uRctf1uN14vB5yc85eyuP14Ha5S+3zer243cKZU134ct1RhnSNo1FUkN7wi8CXiKrbgnNQk8RdJDBOb2B/Wh6frxXlgwW+kSR47a4E7umoGw9fxJ9Ab7Sy7gKBHk04K+ZuBCqsxlNZcs/YyUyxkXnKVvwzK9WGx1W1i0h63Ao56XZy0n07wQNDzUTVDya6fjDRDUKIrh9MRGwg0oWHg7Yt3J5EC4Fax1mxt4FqEhZ1KVoSXA5++OGH0AcffDBeb2zOnDkxc+bMKdd8tFGjRs4jR44kn+vcmZmZxhtvvLGp3W6X//rrr33x8fH2FStWBA8YMKCsuAPIQQvxbQrw66+/8tprr/HAAw/QpEkTZFnCYjRgNsioqsq/n/wP2zdv4I0J/2Hrhr945tU3iYg8u7ZjtxewdcNfXN8uHqPRhCTLuJwOkrdsYvEP81BUBUXLA6Rpi1aVfbkEVzhur8obi/fy3v3lIowBagFPAy/41ypBVaMmibvx+CjF/fLCXXgUkXIh0EeS4NW+VzGwc8OKpq1Fa1AuVvkFZWkF3Fu4tf47J1K8CpmnCjhzPI/Tx/M4fSyfjBN5uBw1t3VLQa6Lgl2ZHN91ts+v0SwTVa+04IuqH4zJrJ/fVAEmtCp1/0Dri5qH5p3/AdFc+Irg5ptvzlu9evWuoKAgxWQyqWazWX3hhRfqLFiwIGrr1q07AwICSq1w9OnTp6nZbK7UqsfMmTNjw8LCPLNnzz4M0KNHj5yFCxdGTJ8+/aQsy3qH5ACcOnVKHTFihBQfH0+3bt0IDAxEljVRt2HDBr785CPqN4zjswWLGT6wD3t2bkeWzp7P5XTS/4GhDP33KIKCgzEatZYITwy/n4Zx8Tzx3EsoXi9ut4v83Fzy8nJxu1zFzc4FVZufd5zioWNZtG8YoTf8FPABWg9QgUCXmiLuGgAj9QZW7T/Nyv1n/GyOoCox8c42DOrSqKIpfwG3IkIlBGdpidYC417gqgs9idPuIWVfFif2ZpF6MIeMk7ZK5bnVdDwuhbTDuaQdPlsgS5IlwmsFEF0/hOiGwdSJDyM2LhTZoHuT7osQNO98b+B9tIq4XwM/Iv7/LwuxsbHe2NjYYtfuwoULQ7777rvoYcOGpbVo0aJcrkV6eropKSmp3N/K4/EUu3p79+7dJCcnx9i6deuC+fPnH2zevLkLYPjw4RkffPBB7a+++ip88ODB2Rs3brR26tTJUfYcYWFh6RMmTKh1xx13SDExMXTq1ImQkBDuuusu2rZtyzPPPseBU5lExdRi9jc/kXYqhbCIszfyp9PT+Ge/W4sfG41GDAYjbreL5K2bWbLwexRVwe1yFTcxX7I+mdg6V1y9JcEFMmnRHr55RLf7SyBaeObDfjVIUKWoKeLuRbRy2eX47+I9/rVEUKWYcEdrHrwmrqIpG9GEnSizKmjOWQ9dwoWcwO30cupANif2ZnFybxanj+ejiqiCi4KqqGSlFpCVWsD+jWkAmKwG6jULp37LSOq3jCCqXvD5nNLEWaHnQKtk9zVab0tRTMnP5OXlyZMmTao1efLkuomJiflTp04t59nYvn27JSUlxdyqVatyfx+Xy1Us7kJDQ729e/fOnDt37pGAgIDif8AOHTo4brvttqwXXnihXmRkpGfgwIFN582bt//mm2+2AdhsNhnA4/HYx44de4DCNiXR0VqTckVRMJlMtG7VkmbNFQ6maw3Mi5qYA+xO3o4kSXy2YDHhEZEEBYdgMBqRJKlUKwRVVVEVhQKbjaysDLIyM8nLzRUhmtWE9YczWborlZ6tdSP3hwFTgV3+tUpQVagJ4q41MERvYOG2FJJPintygT6PXR/P0G6NK5qyBbgZ0Sy5JtOMsx66dueYWw6vW+HUoRxOFoq5tCO5KF4h5vyF2+HlyI4MjuzIALT8vfotI6jfKpIGLSMIjrBW9lRW4J7CLQ/4Hk3oLaWa5OhdqXz88ccR8+fPj1i+fHmY0+mUhg4dmj5t2rSTFoul+B9pyJAhDZYuXRqekZFhAujVq1epL36v14vD4ZABMjIyDDfccENu165dC06fPl0cx2u32+XMzEzDs88+e+rmm29u2bt37xYAUVFRxTHR2dnZJd3AuUCxwAPIy8sjL09zGpoMMnHRQRw8nY+3xALO048O4fjRwwCYLRYMBiNGowEkCYNs4PCB/Sxf+guoKm63B6/Xg9ulOSg7JXUrVV1TULV5fdFebmwZi6F8/rAM/BeteJtAUI6aIO4mof0jlMLtVUTrA4FPbk+ow9hbW1Y0ZRvQE61vlqBmEYu2YDQArffceZF2OIfjuwtDLQ/l4HWLMMsrhYJcF/vWp7FvvebZC48NpH7LCBq0iqRe83Asgbr9p8oSAgwu3DKBecD/gJVAzU2OvEQkJSXZJk6cWK9///5nxo4dm9a6detyoZjDhw/P2LBhQ3BCQoJtwIABWV27di3lucvKyjIUhTeuXbs28OGHH24iyzImk0mVJEktbFoueb1e5syZc2DGjBmHhw0b1uSOO+7I7NixY3FYZmpqatk3SCmBV6tWLUJCQooHrSYDjaKCOHzGVhxeOefn5ZjNZixWK5JUuaJAiqLgcNjxes6/Iq3gyuXg6XzmbjjmKy2kN1qF5T/8aZOgaiCpl7oO9uWlK7Bab+DLdUd57vtzFssS1EASG4Tz9cNJWEw+iy/sQKt0KJI1aw4SkAQ8juapq9RdfhGph3I4sCmdg5vTyc9yXgr7BJcYSZaIjQshvmMtmnWMJShcN9K/Ik4Bs4CZwImLbd+2bduOtGvXTnwmXQScTqdU0vOntz8tLc0QExPj9VFYpSzhgG5FT4CsAhfHM/3fPSft2CEe+vGU368rqDwxIRZWPH09gWZdX8xGoAsgVggFpajO4k5Cq2pWrsNngcvDdW/+wek8cZMlKE39iAAWPNaNmBCfN2670MrYi0bHNYNA4D5gBOfppUs7XCToTpOX6Tj3AYIqgyRBnabhNOtUi/iOtQgIPq8qhV60apvvozVNvyhfwkLcXfHE4qPPLkBaroO0XP9+TghxVzV4okczRvVo7mv4PrQQcIGgmOocltkLHWEHMPvPw0LYCcoRYjHy8ZDOFQm7FOAWhLCrCcQD/wb+BejWo9Yj7UguBzelc2BzOnkZQtBVV1QVUvZnk7I/m1Vz91O/ZQRNO8fSpH0MloBzfq0agLsKt73ADOAzRO5udScNMKP1KitHbKgVt1ch01YuqlRQw5m58hCDujQkJkQ3B3gi8B0gYnIFxVRXz50BrdhFuYp1mTYX172xnDyn+D8QnMUoS3w8pDPXNi/X77aIAqA72vtKUD2RgdvQvHS3UlgE4VykH80tDrnMPSMEXU3GYJRp2CaSZp1iiWsXfT599WzAJ8A7aDla543w3FUZ4tHCNMuhqipHztj8dn8iPHdVh/u7NOTVfj6LMA8GvvSjOYIrnOrquRuEj1Lk7y0/IISdoBwT72xTkbBT0UIfhLCrnkSieej+DTSpzAH2PBe7Vqewe/Upck6LqvcCDa9H4fC2MxzedgaTxUBcQjTNOtei4VVRGCrupxeEls85Aq1n3mRgFRcpZFNwRXEYaIEW8l0KSZJoGKVV0HS4Re0dwVnmbjjOv7o3Jj5Gt13LC2ihmeLmVgBUT3FnQnNTl+Nktp0v1x31szmCK51h3Rtzf1KFTcqfQrvhElQvagP/AR5BK2V/TlIP5bBjxUkObkoXzcQFFeJ2etm/MY39G9MIDDPTultd2lxbj+CKC7FIQJ/CbTOayPsG0U6hOqEA+4FWaGGapTDIEnGFAs/tFZ8xAg2PovLOsv1Mu0839bsZ2gL0F/61SnClUh3DMv8JfKo3MObbbXy36aIXKRNUYXq2juXDBzoil+8jU8QHwGOIFfTqRC1gLNrfNeBckz0uL/s3pLFjxUlOH8u75MYJqi+yLBHXNpqrrqtHg1aRlT3sIPAiWjsFn+4cEZZZ5bACLdHSSMphd3k5dDof7yW8RxNhmVULWYIlT1xH01q63rsDaAsGwnsnqHaeOwPwrN7A3tQ85m8Wwk5wljZ1Q3lnYPuKhN0SYCRC2FUXooExaH/TciFRZck5bWfnypPsWpOC0ya+LwV/H0VRObT1NIe2niY8NpCE6+rRqmsdTNYKv4rj0Vbk/4MWfrWA8/tM6njhFvuVTZfbAD/jQLshb45Ofm+A2UDDqECOnClAFV9BAkBRYdpvPr13TdFSkj73r1WCK5FKNWipQgxAc0+X453f9qGIz0dBIbVDrcz+Z2dfvWMAdgL3IlbBqgORwKtouS7jOIewO5qcwcLp2/jqhbVsWXpMCDvBJSE7rYBV3+zn0/FrWD1vf2XaZbRBa4i+Ea3wT+U6XAsuO7/++mvw+vXr9aIE8oEjvo4LsZqoF3HO4AJBDWLh9hT2p/mMIHme6ue0EVwA1elNYACe0xvYl5bHouRUP5sjuFIJNBuYPaQTtcN8plmlA72BHP9ZJbgEhANPFG4hFU10Ozzs/DOF5BUnRYEUgV9x2T1sXXqc7b+doEmHGNrf1IDYxmEVHdIB+AVYjfad94cfzLyiOXz4sCk9Pd0YEBCgWCwW1Wg0qgaDAVmWVQBVVSW3243T6ZTz8/PlkJAQb+vWrYt7Dpw+fdrg9XoJCwtTAgICKlwGdjgcUk5OjgwQGxtbLkw2Ly9Pfuutt2KuueYa26233poPMHjw4CZNmzZ1rFmzZh/ASy+9VMtgMDBy5MgzoaGhmWi5d/X0rhcZZMblUUjPE5V4BWe9d+8O6qA33BS4H621iqAGU53E3d1o8cblmP77AapfaqHgQpAlmHZfIm3q+rx5cgB3UsFqquCKJwwYBTxZ+LtP3E4vO/44wZalx3Dki5oVgsuHoqgc2JjOgY3p1I4Po1OvOBq1iarokG7AcmAZPhY2awrz588PGzNmTIVVsUoyYsSI1OnTp58sevzss8/W+eijj2JBq1hpMplUWZZVSdKco6qqoiiK5PF4JEXRipzce++9Z+bOnVuuQltqaqrxvffeqz1z5kxlx44du6Kjo71BQUHeOnXquADS0tIMb731Vt3rrrsu54knnjhddBhgQQsdL0ftMCsur0J2geiBJ4Cfd5xiZFoezWN11yyfB75CRB3VaKqLuJPx8eV28HQ+C7en+NkcwZXKs7e3oker2IqmPAj85SdzBBeXAGA08DTnaDzucXlJXnGSzUuOYs8Tok5wZZF6MIeF726jTtNwkvo0oW4z3bZoRfQAehiNRjtav7wa53oOCgpSAGw22+bAwEAVYO/eveaWLVsmLFiwYF/fvn2L49iio6PbBQYGlipD2bFjxwKHw3E6KCjIa7Va1SJxt3LlytC1a9eGDBs2LC0iIsLrcrkkh8Mh22w2uWPHjgUlz7F582ZrTk6OHBQUpI4aNepUfn6+nJKSYkxNTTWqqirl5+cbkpOTLS+//HLtyMhIz3PPPZe6c+dOS15ensFisSjdunU7hubBC9V7jvXDA3C4vaJFgqDYezdd33sXDzyAj8KCgppBdRF3ffDR1+795QdErp0AgAeSGjGse4VtzJ4BvvWTOYKLS29gGtC4okket5edq1LYvPgoBbliFVxwZXPqQDYL3t5Mg1aRdOnThNg43ft+AGRZDgBaA1nACaDGvMGLwi93795tsVgsKsDRo0dNACdOnDAnJycX95/wesuLo0ceeSTzkUceySy7/8knn5TXrl0bMmLEiDOJiYkVxkW++uqrtefPn1/K1frGG28Uh1oePXrUkpCQUKzSk5KSWhf9fs011+QVhmweRKugWS7RTpYlGkYGciA9H0WEItV4ft5xiv/z7b17Dq2pufDe1VCqg7iT0NzQ5TiaYeOHrcJrJ4AODSN48Y7WFU35FHjdP9YILiKNgXeAOyqa5HUr7FydwubFR7Bl15h7XkE14fjuTI7vzqRxu2i63NmEqHq6pdCLiEALRz4FpPmc9WKFEcuXjhcvXSpzp06d2pTdN3LkyLhLdsEytGjRwr5nz55dTqdTKhKZvnC73ZhMJq6++uoWJXaX7IFnKnuM1WSgXngAx7MKyg4JahiqCu8s28979/v03g0GPvGvVYIrhepQLfN2QLcu7Pt/HMQj3HY1ntAAI9Pua4/R4PPt/gdaI2vxZqk6WNHKwu+iAmHn9SgkrzzJly+sZdXX+4SwE1RpDm87w9evrGfJrJ1kp1V4gy+jFeiocEWrumGz2TarqrpJVdVNe/bs2QGwYMGCfUX7VFXdFBUVpevNSE5OttSrVy9h8ODBDf+uHV26dGkhy3JHk8nUwWKxlNqMRmMHSZI6Dh482FeOoBtN4Ol2MI8IMhMZVK73uaAG8kvyKfam+qyc+RzVw4EjuACq+h/ep9fuRFaB6GsnAOCNu9tRP8Jn9ft9aMV4xF1/1eE24F201UldFK/C7rWpbFp0hLwMUWVOUI1QYf/GNA5sTqdlUm06396YkCiflX99DlQnVFX9220hQkJClJSUFHN0dHQ58Td79uyoWrVquVVVxeFwyCkpKaapU6eejIiIKBZgL7744qm8vDwZwGg0qtdee23OlClTdG9CbrnlluYWi0UBWLRo0QFJksouLNqBY0Cc3vF1wwIocIn8u5qOqmptvt6/X7eVZRO0e5u5/rVKcCVQ1cXdzcDVegMz/jiI2yscMTWdB5IacetVtX0NZ6F5fsvlWgiuSOKAKUDfiiYd353Jqrn7yEoVoUuC6ouqqOxec4q961Np070uUQk19/suPz9fBggKCioXo9avX7/mZffZ7fZyYRxFAquoQmZJPvjgg+IvkaKcvddff/0UJbxrCQkJzpLHWK1WpUmTJrqLhkWtGgCioqJ8KbQMtBYu5Uqmivw7QRGLklPZk5pLy9q6+bhPA98gopJqHFVd3Ol67U7l2Pl2o/Da1XRa1wnl+dt1u2MUMQQ44B9rBH8DCzAGeBadQgNF5Gc7Wf3tfg5sSvebYQLB5UbxqOz44ySdG0RQkOsiIMSkK1CqM3379s1JSkraFRISolitVlWWZXX8+PH1GjVq5Hz88cfPeDweFEWRnE6nZLfb5fDw8PNyeW3YsGFnyYIq+fn5UlFVTj1cLpe0bNmyiMjIyIii1gllcTqdlfkjHQOC0PHAWk0G6kcEcCxTLGLVZFQV3l9+kGn36WYndQSuR2uZIqhBVGVx1xWtz085PlhxCJdX/wNVUDMINBt4975ELCaDrynvAD/60STBhXELMB2tOasuXq/Ctt+Os/HnI7idIkxJUENRIT/LgcPmJiTSisni87OvWpGbmyvLskyLFi1cgYGBitlsVmVZZsmSJeG9e/fOjIuLcyuKgtvtlpxOp2Sz2eQiT9+FEhwcrCvsFEUhLy9P3rx58x6j8eztVWBgYOKjjz6a9tZbb6UoioKqqng8HikjI8NQgecONM/gQbQCK+VsDg80k+/0kGkTWQU1mZ93nGLsrS18pZ88jRB3NY6qLO6e1Nt5Os/B1+uP+dsWwRXGxDvbEF/LZ0W5zcA4P5ojOH9C0fLqHqxo0ok9Waycu5esU2L1WiAArYdjVqqNgGAzQeFmZF+FpC5h1Up/8sMPP4Q++OCDuvm3c+bMiZkzZ05M2f2NGjVyHjlyJPli25KRkWGoVatWewBZljEYDKokSbhcLmnatGl13nvvvdqKouD1eiVVVQkPD/dkZWVtO8dpHcBRfLR5qRsWgN3lxS7y72osXkVl1qrDvHhnuWKxoOWoJwA7/GuV4HJSVcVdE6Cf3sBHqw7j9AivXU2mb/t69O/UwNdwPjAQcPqaILjsdAe+wEcxAQBbtpM/v9vPgY0iBFMg0MOe78JZ4Ca6gW4frGrDzTffnLd69epdQUFBislkUs1ms/rCCy/UWbBgQdTWrVt3BgQElLoh6NOnT1Oz2XxJbhKK2h889NBDaU899VTxh1P79u3b3HfffWfGjRtX3Jpi/PjxdZcvX17ZfhSZaPl30WUHSubfeUX+XY3lm43HGd2jGeGBupVUxwD/9LNJgstIVRV3o9AJUch3eoTXrobTODqIV/tdVdGUR9HKTCNpiSkWVVX9Xk5RkqS6QF1gk6qW/kaWJOk1IEtV1Tf8bddlxgRMAMbjo02L4lXY9vsJNvx8GLdDrFQLBBWh1IBWQLGxsd7Y2Fh70eOFCxeGfPfdd9HDhg1La9GiRbl4xfT0dFNSUlJx/fi9e/eaw8LCvA6Ho1Khmh6PB7vdLufm5sp2u11q2rSpu2isSNyFh4d7S15bkqRy+wIDA89XYB5Hy78rl3dsMRmoJ/LvajQFLi9frDvKyBub6Q0PQstZF8UoaghVUdyFA8P0Br7ZcJxch24LG0ENwGyQefe+RIIsPt/WnwJflXjcFNgiSdIyYGBlRZ4kSaOBVcDmssKszLxgwK6qqp4K6YeWS/Y55VfU7gBWVsKOemgtHNxoYsiE9uUfCtRCE4/NgauAhsA/VFX12RTnMtMc7W/TydeEk/uyWPn1PjJTbP6zSiAQVAny8vLkSZMm1Zo8eXLdxMTE/KlTp6aUnbN9+3ZLSkqKuVWrVsVi8N57722yffv2oKLHU6ZMqTNlypQ6JY/r0KGDbrzb9ddfn7N8+fLiolxFlTTLUvJrYtGiRcE//fRT2OLFiyOKKmZWEgU4RAX5dzanhwyRf1dj+WzNER7+RxO9WgNGNKfI0/63SnA5qIri7mG0G9hSeBWVj1cfvgzmCK4UxvdqyVX1fEa57AUeL7OvC9p76dR5CLu2aOX4VwK3ovUjKhJyjYAWaAKla+E2EvhQ51TXA17gFZ0xBz4a2JZhDDC6xGMPkIv2nDKBnYANKEB7/vcBMytxXn8iAQ+hvaa62eAuh4dVc/ezZ+0pvxomEAiufD7++OOI+fPnRyxfvjzM6XRKQ4cOTZ82bdrJIi8awJAhQxosXbo0PCMjwwTQq1ev3KKxAQMGZNx6663ZFotFLcqRkyQJWZaRJEkt6qFXVAhFVVW8Xq9UUFAg16tXz13SluzsbF215vV6paKqmbVr1/bMmDGjtsViUYcNG5amN78CKsy/q1PY/07k39VMzuS7mLf5JIO6NNQbfgTtfqN6JNsKKqSqiTsT8H96A4uTUzmRZdcbEtQAerSqxdBuut93oOXX3YsmdEpyc+HPaedxqbvQPGX/AlySJOWhleo3cdaLZgYmoeWNlVs9liTJAPRAay6aJUlSA7RcQCeaQFO0aZIRMBSeOxhAVdXUwnPEFV7jdbQvfLuqqq7CsT+APaqqPlrimjJglSQpGrCqqnolhGfEALOAO31NOHUwm2Wf7CL3jGhELhAIypOUlGSbOHFivf79+58ZO3ZsWuvWrcu5roYPH56xYcOG4ISEBNuAAQOyunbtWnyz8Mwzz5y+WLbUrl3bc/r06a1BQUHFi3Mejwe32y3l5uYaANq2betYs2bNrsTERIfVar2QuFmRfyfwyaxVhxjYuQGyXK7TRgiac+RN/1sl8DdSBVFlVyL3A1/qDfR7bzVbjmf72RzBlUCdMCu//N8/iAjSTSQGeAyYUXJHocBKRwut7FmZ6xQecwD4Q1XVoYX7ctHaKkxWVTVLkqSJwKOqqsZWcJ6+wAJgKFpo6LOVuT7wlaqqDxSKPrfOuILWrNRQ+LPoBkNG85AVkaOqanglr3mp6AV8DOi+TopXYcPPR9i0+ChqDcgbEgj+Lp0fiCCugW7RSJ/IRpnQKCtma4XrvBlo/dZEpbIrBwktPFO372d2gatS+Xdpxw7x0I8iIqK68eHgjtzSprbeUAqa11fE7lZzqpLnTsJH+4NNR7OEsKuhGGSJdwYmViTs5hUWL3kFzcPlQrtJqQNEAtmSJI0pc4wJLUQwCHCoqvpM4f4H0Co4Hi0x1wPYVFXNKnxsRPPCVURJ7/M8YAuaV/EutNDOemghmwVoLRssaKtu6QCqqnokSWoN5JV4Tp7CTQWWAXvQQkKlQpsMheexoNMQ148EAm8AI3xNyE4vYNnHu0g7kutrikAguAgoHoXstAKCwiwEhpl9NT+PQoscOIT2mSS4/Kho/e9aI/LvBGX4cMUhX+KuLlpxlU/9apDA71QlcXct0EFvYNaqQ342RXClMOqmZlzdONLX8FG0fK4daILJgyaEvGjCzQP0LECa69sAACAASURBVNxAC6cMQBNaMpoQOgU8U5hT96rONcquZhdQ4v+qsCJngKqqBYWPrwZuKBpXVXULmrhDkqTHgNVoXq0dwD3ABlVVy8Ubq6q6u/CYj4C7C6/rKXxudYH2wE2F042Fz+uXIo/jZaIlMB9txVmXnX+msPrb/aIZuUDgR2w5TlwOD6HRARiMukUjLWj/vylAql+NE/jCCRxBaw1VjtphAeQ5PbhEa6gax+ZjWWw8kkmnON17o6eAz9AWCATVlEqV/r1CeEpv57GMAn7dKb5raiLXxEfx+A1NfQ170QqIZKGJCZOqqiZVVYPQwhKcwHOqqoYXbcAnaAIpVlXVQDRR1LJQoH2BJv70kpFfliTJIUmSA3gRaChJklOSpKL8uR8BJEkKAD4Clpc9QeHYdcDWwl1OtJXZO87xMniB3WhirhNakZjNaGGfSYVbJzSv3+Xs7XcbsA4fws6e7+KXGdv548s9QtgJBJcBt9NL5ikbDptexDegRQHUQ6tsW5UWhqszWYBuzqBBlqgfrlujSlADmLnSp9PjKrResoJqTFX5gG6Oj5vcT9YcRqTk1DwCzQbevKetXtJwEc8CawF0yv8/irawMbvM/tvRcvBshcepQL4kSb2AvmilhJ+hPHOB7wt/74QWSjkEbWXMxFlB2Blt9bsrsLHMOR5EC51cVuIa89G8hvN8tFMALfcuCW0Ft4gA4Go0z1/Jfedsr3AJKAqnfgMfi0lHd2bw+2e7KcgVIUQCweVEVVRyz9hx2T0ER1p9fb6GoC3S7EcLCxdcXo6jhc2Wy78LthqJCjKL8MwayNLdaRw8nU98TLDe8Ai0dk6CakpV8dyN1tuZa3fzzYbj/rZFcAXwZM/m1I/wuSq5FB8VoQrDK0cD36iqeqbE/n+g5bt9X/YYVVV/QRN27/u4XrKqqt+pqvod8G3hvlWqqn6tquoXqqr+WHielWgetm1lbDKhCaDvi8I3C/kKSABe8vVE0QTkKlVVg4s2tA/t2WX27ajgHJcKK1ps/1vofNZ43F5Wzd3HwunbhLATCK4gHDY3WadsFXnRzWgCz2fvGYHfUNHyIXWXuWuHBWA2VJVbPcHFQlXh87VHfQ3fDegm5QmqB1XhPz4EGKw3MGf9MWwuEcJV07iqXmhFbQ/S0N4vvhINrkO7IUmSJOmBwgqYoDX3dKOFX5ZDVdVpqqp6fF1U0khE6yenAG19nGe3zu7ngHjgtTJzj6KFij4jSZJuCxA0z6BRkqTwog3NI28us8+AdkPmL+oAf6B5JMuRnV7At69tZPvyEyLyXyC4AvF6FLJSbdhyfEZzy2jVfmv5zyqBDxzotN0BLTyzXoRuUU1BNWf+phMUuHRvW4zAcD+bI/AjVSEscxCFPb5K4vEqfLbmiP+tEVxWDLLE63e1xeA7HHMomsDTRVXVnyVJaoYW+vgxMEGSpJ/Qwn7fu8D+b5HAQiBQVdUbJEnahVYA6JdzHShJ0i3AeLQWH4fKjEnABLSwy3ckSeoGjCjpcUQrDNMNOIMmThU0j1kXtJxDGU3YGYDkC3huF0InNA9oPb3BY7syWTIrGWeBT60sEAguErUahV7qSzQo3P4umy7COWoyqUAEWkXi/2fvvMOjKNe//52Z7bvJppOQTgIJHRKagDQFaUqxYRf1Z0GxogiKinLQ9xzLUUGOHOXYAEWKBUHpKIiQRkIgCYQkkJDet5eZef8YEpPd2dCSzWbzfK5rL5Lnnp25E7K7cz93+bbCRyFFgFqGWlKe2a3QWez4IeMC7h4ZLWZ+DIJOLvkg9kI8PXNHAXhCzPDbyQqUNZBy/+7G/DExGBDushJoI4CdlzoHz/PneJ5/DEJZUQ2A5y6asigXs8AvwSIIwVRT5u0XALddxrlCIfTVnYUwJdNIURQLoV/uCQjDUg5CmHp5CsBQtMhIUhQlB/AfCA3SvS4+YiAMLlkPIApCqWkvCJnE1RRFdXT27i4IZaGigd3xveexfVUmCewIBILHcfLkSfm2bdt88/Ly3Fnl0J4UwkUtRJhWASkpz+x2fP2Xy9LMCFx6YBuhi+LpmbsRAAaLGdYfdfkHS/BSIvyVeH5yH1fmOvwdpF0SiqLUEEoGh0HQhKsD8CmARyiKepHn+YMuniptcY5vIWTt0gHcerGMEhDGDL8EYBaAHyiK6s/z/MkW52gqBS2HMF1zO4SJZ6kQtOu2AsgC8BYABc/zFRRFTQAQwfN8bYvzhEEICpto0rqTQXjt3AFhA0eGv0XMIwFcTXbyUtAQtASXiBlZO4eDG/KQ8ycRzCUQCO1LYWGhtLKyUqJUKjm5XM5LJBKeYRjQNM0DAM/zlM1mg8ViofV6Pe3j48P269fPKY116NAh9eOPPx57/Pjx5iqHb775xk8mk3Eymaw5aGJZltLpdPTo0aONffr0aT5PYWGhVC6X8zKZjGdZFlarldLpdHR9fT1TXl4uLSkpkZ4+fVpx6tQpZWlpqezIkSO5/v7+7alV0FSe6bS5xtA0IvyVKKw2tOPlCJ5OTpkOKUW1GC4ui7AAwmRtgpfh6cHdY2KLhdUGHCmocbcvhE5mxewBUMlc/skuQhvlmE1cFP+eB2FiZjCEHrsnIQiPPwphEMsBiqJ+BPAiz/NnHE4hb/F1A4Rs4UM8zzc3pvA8n0NR1PcA3qEoqg7AjxRFzeB5vikQU7Y4tuXgl+qLPtIAbDzP57U4rgotRl5f7O/jIZRk1gBoxN8i5j9CmGS3CEJQR0MobQ4CEERRlNYh2LxWfCGUlYruAhobrdj56QmUnxVTkSAQCIRrY+vWrdpFixaJ1p6J8eSTT5avWrXqQtP3NTU1jJ+fHxsUFGQHAH9/f1av11NSqRSLFy+OrKyslPI8T0kkEl6pVLJ2u53S6/XMrl27clsGdytWrAhdt25dcw8iwzC8RqPhTCYTrdVq7fHx8SaVSsWpVCouLi7O/PnnnwcsWrSoGu1Lm+WZ/ioZ6oykPLM78fWRc66CuxsBJECYFUDwIjw5uPODcBPuxIaj58GTIQzdipsHhWFCgsu+/YMQBo+IQlGUP4CPIGi7xEAIgPYCeJ3n+T9bHPopRVG/Qgj4ZkHIot3X4jw0Ln5gUhSlBbAPQrbNv0UFpgLCwJa3IUgPHLi4XtfiOj5t/awX7Zc65nsIQ1gAQb+uKWvHQyjnTLz4M1C4OHQFfw9UOQhgwiXOf7lEQyhD7S9mrDqvw441WdDXdabEHoFA8GbUajUHAAaDIV2lUvEAkJeXJ0tMTBy4bdu207Nnz26WwwkKChqsUqlaZcvGjBmTkJeXp2QYoaiiV69eg1mWxa+//pqXm5t70sfHh0tMTOw3c+bMunfffbds3bp1/g8//HCvloFdXl6e7K233ip74403ylQqFa9WqzmFQsEDwIgRIxLi4+NNGzZsON90PMuyMBqNdFlZmcRoNFJxcXEuBQavgiIIbQdOrQFhWgV0ZhvsREOq2/Brdjmq9RYEaeRi5ifgYiI9oeviycHdfRDRbbHYWWxOI/IH3QlfpQSv3SwaOwCAFUKG1+UnFc/zdRRFNUDIcH0NYH3LrJjDsecoipoIIeu1ytEV/P1hORTAtxB64KwX/2UgvKYYCFms+yFo4G3kef5Ui/MEu/L1IpUQAsu2GAYhqDNf1OO7JBeDUyXa73XfD8AuuOivy0+rwN4vc2C3tmfVEYFAILSmqfwyJydHLpfLeQA4d+6cFABKSkpk2dnZzXe1LOs8YXvNmjVFUqkUx48fVy5cuDDmhx9+OC2Xy7khQ4aYfXx8uPLycqagoEAxbNgwIwCcPXtWLpfL+cjISBsA2Gw2JCYmDhTxCxRFgWVZpKamajZt2hQMABzHoeXbtkajYXU63fF2/JWYAJQB6OlokDA0QrVKlNQZnZ9F8EqsLIdvjxXjqUnxYuYHIegCk3pdL8JTgzsKQtmcEztPlKPO2J4bXARPZ8m0vgj2Ed1xAoB/4DJKCnief+pyr3dRMPz/iazXo8VOKEVRMp7nnf4YKYqSNq1TFBWG1lk78DyfDpEd1Rb24ZfhY/2ljhF5Dof2ewMfDmF4TaCY8a8fC5C2s6idLkUgENqbgV86xSJu4cQDHSe5OWzYMKddwIULF8Zc6nkTJ040AkB9fT0DAIMGDTJFRUU1T3167bXXwgIDA21z5sxpBICUlBR1ZGSkhaaFASVSqRRpaWkntVotq1KpeLlczkmlUkilUp6iKIwdO7ZP7969zevWrTvP8zxsNhtlt9thNptpk8lEmUymjph00lSe6bRJHqCWod5ovXQfA8Fr2HjsPJ6YECc2aVwLYRDaZ+73itBReGpwNxZCVsAJMkilezEiNgB3jYhyZc6BSBDmLsQCO8d1hwEo3sJEAD9BRKLEZrZj9xenUHi8vdtICAQCoW0utyyz5XOOHj2qfOKJJ6K1Wq29sbGRAYC77rorluM4aujQoYbAwED7559/3uOrr77Kz83NlY0fP75vQ0MD89RTT5W3PE9SUpIZAObNmxe9c+dOf4VCwUkkEp6mab6qqkqWm5ur7NOnjw8gDGQxm830xIkTGzZv3lzUQb8OHsA5CCX6TvT0U6LgamZDE7okF+pN2Jdbgcn9RLXLnwTwOYjqrNfgqcGd6CCVMxU6pBTViZkIXoiMofH2nDZ3lx+FUJpIcB+zIJSaOqVSDQ0W/PxRJmou6N3vFYFA6LbwPH/VYUqPHj3ss2fPrvXz82NlMhm/aNEiVUhIiG306NH68PBw24ABA8wBAQHsPffc0wAAy5cvL05MTLQkJSWZ7HY7JJLWt1E0TfNxcXHmX375Jb9pbcaMGfGxsbHmVatWNU8qHj9+fB+ZTNbRNesGCIO4nFoBFFIGPgpPvQUkdARfHTnnKrgbAmHC9lH3ekToKDzxlR0E4HYxw/qj58WWCV7KgolxiAtxSg41sRbAITe6QxD6YP+Hv6UcmmmoMuGnDzPQWE20JwkEgnvR6/U0AKjV6iRH25w5c5z0c1qWQcbExNiefPLJmsDAQBYAlixZEjl8+HDDiy++WA0Aa9asCXj++eejFy1aFN00OKupZ85kMqVLJJJW2Q6pVMpnZmaq4+LimncmLRYLnZWVpdq5c6d/y7WRI0e6YyfsAoQBdVJHg49cgrhgDc5WkQ257sCh/GoUVhsQG6QWMz8IEtx5DZ4Y3D2Av6f6NWO2sdia0RHyXARPJC5YgycmxLkylwNY7EZ3CMAjEAJqpx3ymgt6/PThcRgbyXhtAoHgfmbPnt0watSoUz4+PpxCoeBpmuaXLFkSHh0dbXnqqaeq7XY7OI6jLBYLZTKZaD8/v1ZTVR5//PHIPXv2aIuLi7MAIDs7W7V27Vr/oUOHmjQaDQcAJSUlmU3Hb9iwwW/x4sXRTdMwW0JRFJKTk/XHjh1r7gUXm5aZmJgo2nrSAbAAigH0cjRQFIWVcwdg3tq/yATybgDPC61Nr84Q/dObB0ErmOzQegGeFtxRcFGS+XNmKRpNdjETwcugKGDl3AGQS5wSRE08A+CKB4oQrpoFAFaLGcoLGrB9VSYsRvLaJBAI7qexsZGmaRoJCQlWlUrFyWQynqZp7Nq1y2/mzJm1MTExNo7jYLPZKIvFQhkMBrop09eExWKh4uLizBqNhgeAbdu2Bfzwww8By5YtK4mIiLABQFhYWPObnI+Pj/PIzYvYbDaKZVlUV1c3f4CxLAubzUa3XGvyqT1/F21QB0GXVetoGBkbiFuTIrA5jWyedwe2pV/A4qmJkDJOM3z8ANwCYJP7vSK0N54W3I0G0FvMsIGUZHYb7hgWiZGxokMYAUFT7Xs3utPdeRbAB2KG8ydrsPPTE0TqgEAgdBo//vij7/333y9a5rFhw4bgDRs2OPWbRUdHW4qKirKbvq+srJRqNJrmgG3ZsmUlS5cureI4DuvXr/cDgIaGhua7YYvF4nK6pdFopNPT0zWhoaFDJBIJT1EUb7Va6czMTPXPP/8cwHEcOI6jWJZFQkKC6Wp/7qvgPAQ9UiffX5jSB9uzSmG2kfdyb6fGYMWBvCpM7tdDzPwgSHDnFXhacHef2GJOWSMyikmipjsQqJZh6fS+rsxGCFOdSAGJe3gJLqaRFhyvwm+fZYOzk/8KAqEr0pGSBO5kypQpusOHD59Sq9WcVCrlZTIZ/9prr4Vt27Yt8Pjx4yeVSmWriGXWrFnxjoNMiouL5WVlZbJt27b5tlynabpZF8/Pz2+o47U5jkOTHAIAmEwmasGCBVWvvPJKuVar5WQyGS+VSvmZM2fGx8bGmj/++OMSu90Oi8VC19XVMXV1dYzZbKbEyjs7ACuE/rtIR0OYVomHxsTikwNn3eAGobPZnFbiKri7CYI2Yql7PSK0N54U3MkB3CFm2JRKRMu7Cwtv6A2t0qnvu4lXIYx2JnQ8SwCsFDPkp1Vg9+enwHEksCMQCJ1Ljx492B49ejRnwLZv3+6zefPmoIcffrgiISHBqRG4srJSOmrUqGZphKKiImlpaans/vvvr7z77rvjWJalWk7fNBgMtEajYSsqKpp77nbt2qV57733QvV6Pe3r69scKJ4/f146ZcqUZukBhmF4iUQCm81GZWVlqXbs2OHPcRxls9moJhHz/Pz8rLi4OHeJ91ZCGFrnpH33xIQ4fJtSjFoD6Z32dvblVqDWYEWA2mm8BQ3gXgD/dL9XhPakI4Qzr5YZEAQ3W2FnOfx0nGwidAciA5S427WmXTqAj93oTnfmMbgI7E4fK8cuEtgRCIT2x+Wu3uWg0+noJUuWhN566629hw4dqv/3v//tdOOQlZUlLy0tlfXt27c5GNy6davW19eXXbduXfHdd99dbbPZqHfffTfsv//9rz/HcXjyySdrdTrdcZVKxTc9Zs+erduzZ09+dna2nOOE2O7w4cPKmpoaZteuXbnHjx/PLioqyjp//nxWYWFh1uDBgw2zZs2qLSgoOFFYWJh17ty5zOzs7Oy9e/fmVlRUSFJTUxXX8rNfIaLNdT4KKRZOinejG4TOwsby+PH4BVfmByAyOI3QtWjePfIAtgGY7bi4L7cSD32R0gnuENzNv+8cgtlDw8VMPIDhANLc61G3ZC6EnkanjZ+cP8uw/+scMlWNQPBAht/rj5hI59azkGhfkaM9EjOAXAjTHS+bdevW+W/dutV///79WovFQs2fP7/yo48+uqBUKpvfqR588MHI3bt3+9XU1EgtFgt1+PDhU6NHjzYBQN++ffvFxMSYd+7cWQAAK1asCHnnnXfCDQYDHRYWZh01apQuPDzcRtM039jYyFRUVEgLCgoURUVFivj4eFN2dnYOAERFRQ0oLi6WA4BMJuMZhuEZhuEpigLDMDzP81SThILdbqdYlqWaBqoMHz681XRNN9AbgG9OTg769v27DcLGcrjx/YM4V2N0oyuEzmBAuC+2L7zelXkEAHLj3YXxlLLMQAiZOye2pZMJTt2B/j19XQV2APA1SGDnDiYA2AiRwO7kHxdwYEMe6XYkEAgdhQJAPIDTuIJ3mlGjRhmWL18efvvtt1e/9NJLFf369XOqK3zkkUdqUlJSNAMHDjTceeeddU2BHQC88sorpRRFNV/v1VdfrXzooYdqV69eHXTo0CFNamqqZteuXVKTyUQ3ZekAoeRy9OjRzeWd6enpOQqFglOpVHzLPry2YFkWBoOBduPUzCZKADjNw5cyNF68KQFPbchwszsEd5N9oRG55Y1IDBXd/HkQJLjr0nhK5u4JAJ84LurMNgxbsQcWO5ng5O18OX84xieEiJmsAPqA9Np1NIMB/A7A6Z0+90gZ9n6VQwI7AsGD8YLMXRP1ADxysofdbgfP82AYBpcbwHkwMTk5OYEtM3dNzFl9mAyx6wY8cn2sK827OgBhACzu9YjQXnhK5k50SubO7HIS2HUDrusV6CqwA4SgnwR2HUsvAL9CJLArOlGN/V/nksCOQOiiVJ5r7GwXRJHIGPj1UIGmnZJWfgCiIIzu9ygkEk+5ZWoXLgAIgEh/1ZLpfXHHp0fc7xHBrfyYUYqXpyZC4qx55w/gZgCb3e8VoT3whK2neADXiRm2pbts+CR4EYunJrgy6QD8w42udEdCAPwGINTRUF7QgN/+m02GpxAIhHbHbmXRWGWCi+qhYIi8JxHaFRvLsjoxw4jYAFej8gleRJXegoOnq1yZH3SjK4R2xhOCu3vEFi/Um/BXYY27fSG4makDQjEkymlIahP/BFDtRne6Gz4AdkDYYGlFbZkB21dnEoFyAoHQYVjNdjRWm12ZwyH04xM6CI7jGgDUitlenpoIxjmrSvAyNqe5nGsxFWSDpcvS2cEdBRclmT9mXCBT+bwchqbw4hSXWbsKAB+40Z3uhgzAVgDJjgZdrRk/f3QcFoPd/V4RCIRuhcVog77OZYAXDZFycUL7wPM8B+AtMVtciAZ3DnPSOyd4GXtzKlFvFNU2ZCBMzyZ0QTo7uBsFwLkDHMDWDFKS6e3cnhyBuBCNK/ObAAxudKc7QQP4EsCNjgazwYbtH2dCX0f6qAkEgnswNlphbBR9z6Eg3COo3OtRt+ITAAVihucm94ZaxrjZHYI7sbIcfs4sc2W+3Z2+ENqPzg7uRLN2J0oakF+pd7cvBDeikNJ4bnIfV+azAP7rRne6ExSAfwOY52iwWVn8sjoTtWUkpiYQCO5FX2eB2WATM9EQdNnk7vWo22AFsFTMEOyjwP+N6+VmdwjuZntWqSvTeJDSzC5JZwZ3ErjYFdiWQbTtvJ35o2PRw1fhyvwqANFPecI18xyAhY6LHMvht/9mo7zAMyfrEQgE76exxgSrWbQcXAIhwPOqcZUexPdwoWv2f9f3QrAPiau9mZSiWlQ2ipZGUyClmV2SznyjHAcgyHHRznL4KdPlLgLBC9AqpXhigmg1LgBkANjkRne6ExMgDKlxYv83uTh3ggwwIhC8ja6ic1d5rhHggYYqE/x6qCB1LgeUQxj+lAcPFWex2WyQSqXN39vtdtA03UoT79133w0qKCiQL1u2rCIsLMxTGps5AC8COOBoUMslePaG3njlh2y3O0VwDxwvSI89MDpGzHwHRHSoCZ5NZwZ3orsBRwpqUK0Xbe4keAlPTIiDr1LqyrwYwgcNoX2JgBA0O90x/bk1H7lHyt3vEYFAIDjAczwaKo3wD1WDkTgVF6khaOC10j4tLCyUVlZWSpRKJSeXy3mJRMJfFBrnAYDnecpms8FisdB6vZ728fFh+/Xr13yjsX79eq1EIgHDMDwAGI1GOjk52RQREWEzGAy0TCZrDiZ5nofdbqdsNhuioqKagzObzQa5XJ7MMAxP0zQ4joPdbqdOnjx5ouW10tLS1Lt37/b75JNPLhQXF0t4nm91nk7kIICfIeibteLO4ZFYd7gIZ6tIu4y38suJMlfB3TgIpZnkJqEL0VnBHQ0Xwd2v2eTvx5sJ9VXgQfE3EADYC2C3+7zpNsgglN0EOxqy9hcjY5fHaQUTCIRuDMfyqK80wr+HCrSzwHIQAD2A5lKDrVu3ahctWhR9ued/8skny1etWtU8tW3JkiWR9fX1kh49etg4jkNBQYHiww8/LDKZTPTLL78cJXYOmqbBsmxa0/dSqRRyuZxbuHBh+V133VV3+PBh9cKFC2O0Wi03evTo3nPmzKl78cUXqymK4lUqFQsAa9euDXz77bfD33///XNPP/20J5ROvAxgBhxadiQMjZenJeD/vkoTfxahy5N6sTQzxLldhgJwK4DV7veKcLV0Vs/dKABhjoscx2PXyYpOcIfgLp6d3BsKqcvpWy+705duxAcQXnOtuHC6Doe/z+8EdwgEAqFtWBuHhioTeE60AjMagLLpG7VazQGAwWBI53k+jef5tNzc3BMAsG3bttNNazzPpwUGBtpVKlWr6hAfHx928uTJ9WfOnDmZnp6e07Su0WhYACgtLc38xz/+cT4hIcFUWlqauXz58mKKctaAk0gkfGhoqG3o0KHmmJgYKwDI5XI+JCTE/uWXXzptrm3ZsiUgIiLC+thjj4lqzXUCpwB8LmaY3C8UiaE+bnaH4C44HtjhOrlCpmZ2MTorc3er2GLKuVpU6ckIdm8lLliD25Nd6uZ8DyDVje50F+4HsMBxUV9vwa7PToITv3HyKnieh85UB5Zjm9dYzgaLzYRGUx2qGi5Ab2rAuAGzoFFoO9FTAoHQEpuFhb7ODJ9ApaOpSSIhBwDbVH6Zk5Mjl8vlPACcO3dOCgAlJSWy7Ozs5okgLMs6nguOwV7zRS4GcGFhYXaNRsNJJBK+6WtXPuv1erqsrExSX1/fvIv5wAMP1MydO7d3ZmZmsx+//fabJicnR7V27dqCJp89hNcB3AMR+YlHx/XC85sy3e8RwS3sOFHmqrJqHISEjEvNBIJn0RnBXVOK1wlSkundLJwUD4Z23u0EwEKYkEloX4YA+NRxkWU5/Lb2BIyN3t/b+mv6euzJ/A5ma9vyDslxE0lgRyB4ICa9DVK5BAqNU5+2HEAMBOkcAMCwYcP6Ox60cOHCmEtdQ6FQcI2NjUxGRobCYDBcU0XT66+/Hvn666+32sWcPn26buDAgYbKysrme67Tp0/Lhw8frp8/f37dtVyvAyiDUO3xiqPh5sE98a/f8lDW4FJ0ntCFSS2qRUWjWWySedPUTFKa2UXojOBuKISSCid+I8Gd1xKmVWDmIKdK3CY+A3Daje50B/wBbAXg9C59+PszVy158Nr6u1Grd106fe+ElzAq4SandZZj8cGPz2DRnFWXvEZJdT62p36B/LIssJwdkUG9cdPQu9E/amSr4xoMNVix6SGYrEKT/6rH9rayHzr1M35J+R8mDbod0SGJyC1JxZ+5OzBx4K1ICE8CRVHILUlDypm9uH2MkzoEgeDV5CT27ZTr9s3NufRBDuhqzZDIaEicJ2j6AegBQasNBoMhXaVS8QCQl5cnS0xMHLht27bTs2fP1jU9ISgoaLDjSWQyGbdnzx6/pKQkNugvzAAAIABJREFUvyt2zoEVK1YUP/bYYzW7d+/W3H333fEAUF9fT2dkZOQyDIP//e9/gQCwcOHCmoULF9bodDqa53n4+vp60iCxDwG8AIfPDylD46GxsfjHL1f+f0jwfJqmZrrI3t0BEtx1GTojuBPN2h0vrkcp2Q3yWh4YHQOJc2M8AJgBvOlmd7wdGsA3AGIdDXlHy3HiwAXnZ1wmM4Y/CLPV6LS+PWUdtOogjOh9o+jzdqZ9haLKS98Q5JdmYfWOxfBR+mNc/1lgKAbpBQfxn52v4O7xi3Bd4tTmY+sMVZg5fD5Onj+KU8XHnM518vwx9I8aiTnXPQYASIobj8LKHLAciwHRo2C06LD+4Hu4fcxT0ChJ1o5A8FR4nkdDlQn+YWrQztUfEQzDXJN+kkQiwdy5c2u2bNlS1NDQQPv5+Q292nMplUouKCiI9fHxaQ7WwsPDh7As2zSNk+I4DlKpNIllWYrneTz33HNl77//vidpQFUB+ALA446Gu0ZE4eO9Z9AorkdI6OK0UZp5PUhpZpfB3cFdGyWZ5O/FW1HLGNw9QnTgGCB8gHjSh5o3sAzAdMfF6hIdDnyTe00nHtlnitPa8YI/YLIacO+El0DTzsNy8suysCtjw2Wdf+Mf70OrDsLiW/8DpUwNALgp6R58vP1FbDnyCZLjJ0ImEdpWYkISEROSCL25QTS4C9aG4+jp33C27ASighOQU5KK6oYLGN9/FgBg06GPERvSF8nxEy/75ycQCJ0Da+egqzFBG+zUCga73d4DANRqdZKjbc6cOX0c10wmU6udRo5rO2m2ceNGbWZmpkqn0zEbN27UZmVlOTUBAoLkgtj6zz//nBcYGMiqVCpu6dKlPdPS0jS7du06bbFYqPr6eiY0NNTWpgOdw/sAHoNw39aMRi7BPSOjsebgWfFnEbo0lyjNvBXApctvCJ2Ou4O7fgASxAyk3857uWN4ZFu6dh+405duwHQIDfGtsBht+PXTbNht7Vv5w3Estqf+D9EhiRgcO9bJbrTo8eW+t8Hxl75uRX0xKuqLcefYZ5oDOwCQMFJMGDgHn+9+E6W1hYgJSbws36Ym3Yv8six88NOzzWuDYsZgdOJ0ZBYewqniY3j1jnWXdS4CgdD5WIx2GBstUPnKW63PmDGDSUlJMchkskKFQsHTNM0vWbIkPDo62vLUU09V2+12cBxHWSwWymQy0X5+fq2mqrAsSxkMBjovL0+m1+udSkyWL18eDghZueXLl4c3NDQwPO88A4VlWaxevbrH5s2bAxoaGpp3uqZNm9YsEKfRaFiGYfj+/ft7+vS4MwC2QUS2av6YGHx+qBBW1pMqSQntwSVKM2eBBHddAncHd6JZu5yyRhTVOJd6Ebo+NAU8NMapOrCJn0F67dqTGADr4bDTCgC7/3cKDVWmdr/gsTO7UV53Dgtnvitq//b3D9BgrEHfiOHIKUlp81xyqQK3jHjEqbcOAOyssLGtkDrv2rtCJddg0ZxVOHPhOGr1lejhF4leof2hNzfg2z/+jVtHL4CvKuCyz0cgEDoffZ0FEhkDmUK4fTEYDKAoCvHx8Wq5XB4klUov0DSNXbt2+c2cObM2JibGxnEcbDYbZbFYKIPBQDsGcHq9nklJSdEmJib6i10zNzf3VMvv33vvvaBFixZFNzY20k29chzHwWq10qGhoda4uDhLWVmZ9NSpUyqdTkfb7XYEBwezDONc2WA2m6mqqiomMjLSE+sc/wWR4C7EV4FZQ3vi+9SSTnCJ0NG0UZo5HoAPAJ2YkeA5uFvnjkzJ7GZM6R+KyACXN+TvudMXL4cG8D8IAwZakfJLIc6daH99XDtrw47Ur5AQnoSEcOcWlSO5vyK94ACmJd2HmB6XHt7gpw7GlKF3IcCnR6t1jufwx8mfEKKNQIhfxBX5SFM0EiKScF3iVPQKFQbpbfrjI0QF92kuMbWx3j81lEDwJhqrTWAvZo12796NiIgI+Pv7Q6VShUql0mSGYZIbGxuZDRs2BFMUlcwwTLJCoUjSarVDe/bsOXjy5MmtSjXr6+uZBx54oNJgMKSXlZUdv9T1X3jhhWqe59NaDkGpr6+nOY7D008/XfnVV1+df+aZZyoB4Pvvv/cLCwsbIpFIkiUSSdKmTZuCS0pK5HK5PEkikSQplcqkQYMGOU359BD+AvCHmOHR63tBROqP4AWkFtWiziD6uSgFMNnN7hCuAndm7uIADBIz7CT9dl7L/13fy5UpHcDvbnTF21kAYILj4rmTNUjZXtghFzx06mfU6ivw8BSnKlBUNVzA5j9XIS50AG4aejd2pn9z1df54a9PUVhxCo9P+wdo6tr2o9LPHsSpkhS8cvvnyClOxaZDH6Gq8QKCfcNx+9iF6Bc5/JrOTyAQOh6O5dFYbYZfiBLjxo1DRkYGlEolpFIpJBIJu3Tp0votW7b4Hz9+/KRSqWxVOzhr1qx4mUzWau3ChQvy6OjoGpVKxdtstqvSnCssLJQBQGRkZKu74smTJ+uSkpJyQ0JC7HK5nF+8eHF4SkqK5sCBA3k2mw06nY6pq6tzTul5Dv+CMEyjFb17+GBSYgj25lR2gkuEjoTjgQOnqzBnaLiYeSaESdwED8adwd0MscWzVXqcrtCLmQhdnKQoPyRHi1a5AEKzticJt3Zl4gH8P8dFXa0Zu9edhEhryDVjsZnwW8Z6DIm9HtHBrdtoWY7FF3uFQOyBSUtFh6xcLr+mr8e+rM2YOXy+aLnmlaAz1WHToQ8xZ9RjsNhM+PS3VzEkdhxmj3oU6WcPYO1vy/DyrWsR6u9y+A+B4DVcjSSBJ2Ez22GotyAgIAABAX+XVx84cID5/vvvAx966KHyhIQEp/RDZWWldNSoUc1lZbm5uTKj0UgPHDjwiurW//jjD1Xfvn0tQUFBLAAcO3ZMRVEUBg4c2KqXLjo62jp06NDmYFKlUrEMw/C9e/fuKiUDvwDIBeDU7PzouF4kuPNS9udWugrupkOoFCINlx6MO8synab3AcDuk641swhdm4fHuszaXQCwyY2ueDM0gHUAnGpf932VA4uhY9o49p/YAoO5ETOHz3eybU/5H85V5WFq8n2gKBp1+qpmEfE6fRWMlssr199/Ygu2p6zDuP6zMTXp3mv2+ds/PkR4YBzG9J2B1Py98FUG4P5JL2Nw7Fg8MGkJfJT+SM3fe+kTEQgEj8DYaIXFKPTjGo1GvP3225g6dSpGjx6NDz/80ElbKSsrS15aWirr27dvcyD3008/aSmKwpgxY4yAMBQFAKgWNYdGo9GpAHHz5s1+/fv373/w4EEVAOzbt883JibG7OPjw1VUVDA5OTlyAFAqla221ziOoziO60oFjRwA0abqkbGBGBJ5zdKABA/k4OkqsJzoznAPAE5TaQmehbsyd2qIlIwBwL48suvjjUT4KzF1QKgr80cAPHH0c1dkIURKZk4cLEFJbl2HXNBgbsTezE0Y2WcKQv2jW9lOlx7HnszvAADbjvwH2478p5V92fp5GNlnCu6buBiAIESuUfqBccjuHc75BVv/XIPrEqbi9jFPXbPPKWf2Iqc4Ba/c8TkAwGo3QyaRN5d50jQDuUQBq93TB9gRCISWfPPlRuw68At27NgBs9mMp59+GitXroRMJosE0AjA9uCDD0bu3r3br6amRgoA06dPb2x6/meffRackJBgCgsLsx86dEj1+++/qwFALpdzcrmcB4BHH300cuzYsXqO42AwGOiTJ08qv/vuuyCO46j4+HgrABw6dMhn4sSJDQBwzz33xOzdu9cvPDzc6hjcWSwWymq1dqXgDhB0U1cAcPpQf3RcLyxYn+5+jwgdSoPJhtRztRgZGyhmngkg1c0uEa4AdwV3kwDIHRcbTTakneuYG1BC5zJ/TAwYZ7FZADAAWOtmd7yVPgDedlxsrDbhyNaO0yDalbERNtaKacn3O9nkEgUevclZkz41fx/S8vfhsakr4K8JASD0v63b8yb6R43EE9NWNh977PRufPvHv5EUPxF3jX+h1Q761dBorMX3hz/GrJH/h0Af4d6kX+QI7MvajB2pXyEpbgLSzu5Hef153D5m4TVdi0AguJeBAwZj5b/exPz58/Hss8+iV6/mihEGwgThM4888khNSkqKZuDAgYY777yzbvTo0SYAOHfunFSn0zH33XdfNQCkpqYqX3nllSilUsndcMMNeq1WyyUlJem//fbb4PXr1wc3nVgikfDh4eHWpUuXXggPD7cDwE8//XSmSf5g0aJFFX369DE/88wzVY7+6nQ6prGx0d2Tyq8VC4RN2ZWOhqn9QxETqCITz72Q/bmVroK7GQDecK83hCvBXW8woiWZv7tO+xK6ML4KCe4c7rJv6XMA9W50x1thIEzHdBLT3fdVDmwW1vkZ7UC9oQq/n/oR1/e7xWmqJQBEu9CgO18lKF4MjL6ueU2t8IVSpm4O9gAgo+B3fHPgn1DK1IgJTsQfJ39qdZ64sIGICIy7Ip83/v4BwvxjMO6ieDkAJEYkY8awB7Az7WvsSPsSNEVj5vCHkBBBqk0IhK5ETFQsjuxPh2+gEgqNk56qL4CgsWPHVp88edKpyTA6OtqWnp6eY7FYKACYO3dug0qlKpgxY4auKWhLS0trGnxC8zxPyeVyTqPRON24DB8+vLkMdOrUqfqpU6eKDhPYs2dPV1X//g+ApQA0LRdpmsIj1/fCqz9kd45XhA5jb04lXp4mOul6GIAwAGQaoofijuCOgothKvtJSaZXcufwKGjkon9aHIAP3eyOt/IsgNGOi1n7i3HhdMfFzsdO7wFDMZgy9O5rPldC+FD8a/7fwVv2ub/wxd5/gOM5GC06bDnyidNzbr1uwRUFd0dP70LuhTQsuW2tUwZwWvL9GJ04AxUNxQj1iyKadwRCF0ZXZ4ZUwYCROI0SaCrPFB1gEhYW1tyYHBUVZX/00UedyomkUikCAgK6+wCJOgD/BfCco+G25Ah8sPs0asTH5xO6KGcq9SipMyLCX1TOahqEfn+CB0LxHTFKrzX9AYhu6SS/tZu8GXgZEprCwZcmItzPKaEEAFsA3OZml7yRRAAZABQtFxuqTPj2raOwWzv2HqSivhg9/CI79BoEAuHKGH6vP2Iiryyr7W3IFBL49RC9EW0AkO9mdzyezMzMoMGDB8dcwVOiABRAqBxpxYd7TuODPWfayzWCh/DmrP64/7oYMdNWuNCuJnQ+7piWOVVs8XhxPQnsvJDpA8NcBXaAIH9AuDYYAF/AIbDjOR57vzzV4YEdABLYEQgEj8RqtsOkE72v0AJwqctDuGzOA/hWzHDfdTFQSN05gJ3gDva5lrqYApFZGgTPwB2vxJvEFg+eduozJngBD4+NdWU6CuCIG13xVl4A4CT4lrm/GGX5DZ3gDoFAIHgO+noLWLvoJlcURDJOhCvmX2KLAWoZpg0Ic7cvhA7mSEENTFbRHn4NRCZ1EzyDjg7uVADGiRl+J8Gd1zEiNgCDXWvevAciWn6tJAJ4y3GxvsKIoz8UdII7BAKB4FnwHA99rZPEHSDMGCBlB9dOJoDdYobbkiPc7Aqho7HYORzKr3ZlFh2WSOh8Ojq4GwcXEgjHi8nARG/j/lHRrkznAGxzoyveygcAZC0XeI7H3q9yYLd1915/AoFAELCY7DAbRKVUAyFM0CRcGx+JLY6JD2qrLYPQRdmf67I0c5I7/SBcPh0d3ImWZB4+W00kELwMX4UEk/s5j8a/yL8B2F0ZCZfFdIj0rx7fW4zys6Qck0AgEFqirzODY12WZ3Y1EXFP4zcAFWKGOUnhbnaF0NH8fsZlpd1gAEFudIVwmXRKcEdKMr2PaQPDIJeKtjMYQcblXitSiAyjaaw24ehPpByTQCAQHOFYHvp6i5hJDiBYzEC4bGwAvhEz3JZESjO9jZI6E4prXYrUj3enL4TLoyN17sIBiKof/n7aZf0uoYsyd6jL3botEDSGCFfPEwASHBf/3JoPlpRjEtyMVM5AIqMhkTJgpDQYCQ2JlBa+ltLgWB52CwublYXdysJmYWG3crBbWXS88g6B8DdmvQ0KtRQyhdOtTk8ANQBEJ0UQLosvIQz4akVMkBrDov2Res5JLpDQhfnzbA3uDBCVGZkE4T6P4EF0ZHAnOkjlbKUeF+pNHXhZgruJ8FdiZK9AV+av3emLFxII4A3HxdIz9TibTjLghPaFkdDw66GCXw8l1H5y4aEV/tVc/F4qv/qBg2aDDfo6C/R1ZuhrzdDXWaC7+H1jlQn6OtFMC+EaCYn2/DazynPttwfI8zwsFgsUCgX0tRb4hzGgqFaVmAyEAK+43S56kaKiIun58+elY8eONdJ06+KoJ598Mtzf39++YsUK0ZLGLsYJAOkAkhwNtw2LIMGdl3HkbA3uHC46j4j03XkgHRnciaZqjxTUdOAlCZ3BrCEus3alAPa50RVv5HU46DPxHI8/Np3uJHcI3oJKK0NwpA+Co3wQFKFBQE81tCEq0HTHtSMp1FIo1FIERWhE7Wa9DdUlOlQX61FVokd1sQ715UZwpEebcAUUFhXghhnXY9yYCfj043VQ+kqh1MgcDwsGUAmgeUfhzTffDJk4caJ+zJgxToFZSxoaGmi1Ws1JJM63UBs3bvRbunRp1Jw5c2q2bt1a1NK2a9cuv5EjR+ou6X9hoVQul/MymYxnWRZWq5XS6XR0fX09U15eLi0pKZGePn1acerUKWVpaansyJEjuf7+/p1RxvEFRIK7GQPD8MZPJ2EmlSVew5EClxV3iQDCAJS5zxvCpXB7cHeUBHdeRxslmRtAyl6uhX4AFjgu5hwpQ3WxvhPcIXRlNP5yhCf4IyLBH+EJ/vAJUHS2S04oNFJEJAYgIjGgec1uY1FTokdJbh1KcutQdrbBlY4ZgQAASD+eCqPRgB4hPaBQKGCot0CukjpuXFAAIgCcBYCjR48qX3/99ciff/5Zv3///tMajYYHhEDuzJkzspMnTypSUlLUx44d02RkZKhXrlx5/sUXX3S64/399999GIbB8uXLnW525XI511bQ2MSKFStC161bF9L0PcMwvEaj4UwmE63Vau3x8fEmlUrFqVQqLi4uzvz5558HLFq0qDP6XTZCkDmStlz0UUhxU/9Q/Hi8tBNcInQEFY0WnK3UIy5EdGNuIoT7PYKH0FHBXQ8I0bwTfxXWdtAlCZ3BoAitqxc7QEoyr5X34CC6azXbcfRHMkSFcGkUaiki+grBXESCP7Qhov0SHo9EyqBHrBY9YrVInhYDu5VF2dkGFOfUoiS3DtXFOtLLR2jFgT+EgpFH5j8OQBiuYmq0Qu3npMzkB0GMWf/dd9/5SyQS/osvvihSKBS8Wq0earVaKbvdTkmlUl4ikfA2m41auHBh+V133VUTHh5udTyZ3W7H4cOHfadPn14bFBTE5ufnS7VaLadQKHipVMpTFAWe52Gz2WC32ymr1Uo1NDTQABAVFWUHgLy8PNlbb71V9sYbb5SpVCperVZzCoWCB4ARI0YkxMfHmzZs2HC+6Zosy8JoNNJlZWUSo9FIxcXFiWpAdBDVALYDmONouC05ggR3XsaRghoS3HUROiq4E1WtL6jSo0pHeiq8iTmus3ZZFx+Eq2MaRKQP0naeg7HR6Z6CQAAgBHS9hgYjPjkE4X38QDMdMhDZCmFIkgmA2eFhgbCLrwagEvn3mpHIGET2DUBkXyG7Z9JZcTa9EmdSK1GaXw+QQK9bw7Is9uz7DePGTkCf+L/nUBkbrVBopGAkTq+JSLvdnvPdd98Fzpo1q7Z///4WAKAoCgsWLCh/9dVXK4KDg9nnnnuu51dffRX8/vvvu4xYNm7c6KfT6Zgbb7yx8e233w75+OOPwxyPyc7OVn3zzTetpnXecssttT/++GOhzWZDYmLiQMfn0DQNiqLAsixSU1M1mzZtCgYAjuPAt9jZ0Gg0rE6nO355v6l24wuIBHdj4oIQplWgrEFUUJ7QBfnzbDXuFdczJn13HkZHBXeiJZnHikjWzpuQ0BRuHtzTlZlk7a4ecemDGhMy97Z7/z+hiyNXSdBriBDQRST6t0dAdwHAKQCFF7++AKF/tunrWlxdCMVAqOqIhKA1FtniEQOgP4ArrhVV+sgwYHwEBoyPgL7egvzUCpxJrUBl0SVbm7o1qx/vvHboJ//TPveC77y3AjzPQy5XQCaVgqZpVFRWoK6+DlpfLT5Z21prm6c4cJQNBoMBCoUCK1euBADVZ599FlVaWiqLiopq3jljGIZXq9VccHAwCwB2u51SqVRtthmsXr26uZTyzjvvrEtKSjJqNBpuy5Yt/sXFxbKKigoZTdO8Uqnk3n777RKz2Uw3NjbSoaGhdgCQSqVIS0s7qdVqWZVKxcvlck4qlaIp6zd27Ng+vXv3Nq9bt+78xQwgZbfbYTabaZPJRJlMpo6WtxJjJ4AqOMhL0DSFOUPD8cmBs53gEqEj+KvA5T18LwDRAM65zxtCW7g1uDvq+g+D0AUZ1ycYQRqnMhcA4EBS9NfC4xApa/5zSz7pNSI0E5Hoj4ETIhA9MBDM1QV0dgjZ9XQAGQAyAZwEUN9+XraChRAklgI4KmKXAOgDYEiLx1BcgUiuxk+OITdGYciNUWioMuH0sXKcOlRKpnB6Kd9+vx5l5aWQSCSQSmVgGAZGowESiQQH/ziAg38cAADYbFaYzCaoVGrwPAeLxYKwsDCsXLkSer0eK1ascNK9o2m61QaGSqViWZZtbtrjOA4Gg4H28fHhAGD//v2qo0eP+jTZx4wZYxozZowJAD755JOQUaNG6Xfv3q3t27evaceOHf7XX3+9oamvryVJSUlmAJg3b170zp07/RUKBSeRSHiapvmqqipZbm6usk+fPj4AwLIsZTab6YkTJzZs3ry5qB1+pVdDk+bdc46G25IjSHDnRdQarMgpa0TfMNHpuxMhZHEJHkBHBHeBAJzKCgAyTMXbaGOQyl4IN3CEKycQwHLHRSJ9QAAAmYJBwqgwDJwQDv9Q9ZU+nQOQBmA/hCm2hwF40mQeO4SM4Sn8vTlEQdgRngTgBgA3AggRfbYD2mAlhs+IRfK0GBRlVSP74AUU55ANRm/i0J5jUCiUaJpaWVtXi6Tr+uGFZxZj4RN/xxovL3sBX2/8AtmpZ+AfoIU2RAmDwQCe53HffffBarXC19fXKdD65z//2fO9997rCQjlnizLUjKZLInjOIplWVx33XW6P//887Rer6cef/zxmJEjR+paBngAoNfrqZSUFM3DDz9ctXv3bq1MJuOjoqIs3377rd8jjzziUi+Apmk+Li7O/Msvv+Q3rc2YMSM+NjbWvGrVqpKmtfHjx/eRyWSdvev3BUSCu17BGiRF+SP9PJFF8BaOnK1xFdxNAgnuPIaOCO7Gii0W1xpRSmqvvQYfuQST+/VwZSYlmVfPSxCRPjj0/ZlOcofgCQT0VGPg+HAkjAyF1FmQuS3OAfgRwobL7+i4rFxHwQMoArDu4oMCMABCkHcjhBuKNks5aZpCryHB6DUkGLVlBmTuLUbe0XKwZEx7l0ejaRVH4cv1n4PjONx95/2t1vfs24WB/QdDrVLDarbDarJDo9Fgx44d+OGHH/Dhhx9i5cqVFEVRrVLgM2bMqJs9e3Y9AKSkpKjWrFkT+vHHHxdRFMXbbDbKz8+PBYA//vhDXVhYqPjss89yx40b17flOdasWRPIsix1yy236P75z3+GAcDMmTPr3n333bAHH3ywTkxOAQCkUimfmZmpjouLa94st1gsdFZWlmrnzp3+LddGjhzZ2Zs0WQCOQ8i2t+K25AgS3HkRRwpq8NDYWDHTJAjvz6Tr2QPoiOBOvCSzkGTtvIlpA8Mgl4qKGRsBbHOzO96CP0SkD3KPlKHqPOkf6o4ERWowYmYsYgc7VY21RTGATRcfKfCuD1segnjyCQAfAPABcAuAeQBugsNIdkcCwtSYeG8iRs3qhcx9JcjaVwybhai1eAMGgx7/XbcGt8ycg8CAwOb1v479ieIL53Hf3Q82r+nrLJApJZg+fTo+/PBDLFiwACtXroRcLm8VLfbv3980f/78OgCIj4+3rFmzJvTGG2/UOU6knDZtmv6vv/46NXDgwFY72BaLhVq9enXo5MmT65vKNwHgoYceqv3Xv/4V/txzz4V//PHHF8R+HoqikJycrD927Fhe05rYtMzExMR+V/ir6ii+APBvx8WZg8Ow/OeTsJCWAq/gaEENWI4H46yHGg6hd7rQ7U4RnOiI5lvSb9cNmJvksiRzKzyr1KsrsRDCWO5m7FYWf/1EpA+6G4Hhakx9bADufGXE5QZ2pRCCnesgfMAuAnAM3hXYiaEDsB7AzQBCATwCYA+EElSXKH1kGDWrF+5bcR2G3BgJRtoZcygI7cmfRw+jUdeItIwUbN72HVhWCNpXr/0IUqkUt8+d13wsa+dg0gvx2dNPP91c1imTyVRw2CDgOA6HDx9WDho0yEzTNFJTU0Wnvjb1yrXk5ZdfDispKZEvW7asleZdnz59rLfddlv1qlWrQlesWCFaZmyz2SiWZVFdXc00PViWhc1mo1uucRwHm83mdKfdCWyAUFrdCt+LmncE76DRbMep0kZX5pHu9IXgmvb+RNNCJC0PAEeJvp3XEO6nxKhega7MpCTz6tAAeMZx8dThUhgbiPRBdyEgTI2b/q8/5i0bibihl9Vath/ArRD60p4H8BcuEdh4MbUAPgcwGYI49asAStp6gtJHhjG39ca9b12H/uPCQTOecI9MuBomT7oJR/anY8yo6/HsS09izA3D8NpbS7Frz07cd9eD6BnWekPSUG8Bx4nufTT3G9TW1komTZoU//zzz0dqtVouLi7OdPDgQZfCri3ZsmWL76pVq0JnzZpVk5iY2GqiD8dxeOedd0rj4+PNy5Yti5wxY0avsrKyVpVURqORTk9P14SGhg6JiIgYHBkZOej48eOabdu2BURERAzu2bPn4NA1M81iAAAgAElEQVTQ0CFnzpxRGgwGT9idqIKgeefEbckRbnaF0JG0UWY7yp1+EFzT3m8IY8TOWdZgwvlaYztfitBZzBriUv6gDEJvD+HKeQxAQMsFluWQseu8i8MJ3oTKV4YbHuiLectGID7ZZS9rE3oAqyFIB0yCkC132jHv5pQB+AeAWAgaXAfaOljjJ8eEuxNwz/JRSBgZKnSOELockRFRePftD3FozzH4+wXg089XAwD6JvZvpQcHCL3MJnHN0GAIsh1Yu3Ztj8zMTPXixYvLAeDGG29s2L59uz/Htb1/Ul5eLr333nvjIiMjLaNHj9b7+PgkMQyTfOLECfX69euDJRJJ8vjx4xP27duXFxcXZz558qSq5XROk8lELViwoColJeVkTk7Oiby8vBNnz549MXjwYMOsWbNqCwoKsvLz87NycnJOHD169NRTTz1VZTabPeGv9kuxxbHxQQgWn6xN6IJknHfZuk2COw+hvXvuRostkpJM72JukstduA0Qxp0TrgwFgBccF0//VU5GuHs5FE1h4IRwjLi5F+TKS74dnwfwTwBfQShHJFwaO4AfLj6GAngWwN1w8dnnG6TEjfP7of+4nji4IQ81Fwzu89TNtJfWnKdhMBqwacu3yDyRgd5xfaDV+uHFpc9i/Xdf4fUlb2H0qL9nvhl1Vih9ZaBpCjZbcxsdPXfu3ISGhgZJv379jFu3bj3bp08fKwA88sgjNf/5z39C169f73fffffVp6amKoYNG9Zcjmm32ykACA0NtS1atKh0zpw5DWFhYfZRo0YZtFotN3fu3Li+ffua3nzzzVKj0UhHRkbaf//997zCwkJpjx49mj87z58/L50yZUqzHA7DMLxEIoHNZqOysrJUO3bs8Oc4jrLZbFRT0Jqfn5/l2AvYCewAUA0H+RKapjAhMRjfp7aZSCd0ETKKXWbuhgKQAyA3Lp1Mewd3I8QWU4l4udcwMFyL+BCXVSmkJPPqeABAWMsFnuORTrJ2Xk1YnBbj7uqDoAifSx1aAiELtQ4AqdG9ejIgvNaWA3gdwL1wUb0SFueHO5YOR+a+EqRsLyRDV7oAeWdy8cPPW/Dl+nWoqanG7XPn4Z0334VarcHXG/6H5W+/hjnzZmDq5Bl4felb6BUbB57jYdbboPKVwWL5+340KChIfvPNN9d+++23RUqlsjmjlpSUZJ42bVrda6+9Fh4QEGCfN29e/JYtW85MmTLFAAAtyyPfeuutiqavw8LC7ADA8zwllUr5wYMHN1+sZ8+e9p49ezZn3g8fPqykKAq7du3KDQkJsfv5+XFNIuYtpRB4ngfLsmhsbGQqKiokFRUVkrq6OqZlsNkJWAF8D+AJR8OkxBAS3HkJ52qMqDVYEaCWOZpkEAK8v9zvFaEl7RncUQCGiRmOl3S16dsEV0wd4LIx+gQEEWTClSEBsNhx8WxGJeorSCmzN6L0kWL03HgkXhd2qUPLAKwE8BkAoiPTfhRACPLegRDo3S52EM3QGDo5CvHJIfhj02kUHq92p4+Ey6C+oQ6vvLEYR1OOoLjkPCiKwvVjxuOl55ZiePLfsx3uv+chTBx/I556/jH8uvsXaDQarP5gLQAheydXMzAahffbhoYG3HDDDfSQIUPMVVVVzSOhTSYTXVtby7zyyitlU6ZMSZw5c2YCAAQGBjZH/vX19W22uhgMBlqv17d5zF133RVXXFwsBwCZTMYzDMMzDMNTFAWGYfiCggJFQkKCH8/zsNvtFMuyVNNAleHDh7eartlJbIdIcHd972BIGQo21ttnPHUPMs7X4Ya+oi0Eo0CCu06nPYO7ODjocwGAxc4ir5xUEHkLkxJdDnn4xp1+eBHzIPQFtSJt57lOcIXQ0cQlBWPCPYlQqNuc2F8L4C0AnwIwucWx7kkOgDsg7DS/BWCG2EE+AQpMf3wQirKqcWBDLgz1JHnqKfhp/eHr44sA/wDcPncebp11B+LjeoseGxkRha0bt+OTtR/hoQcebV7n7Byqymqbe/IyMjIwb9480DTdUyqVhlEUxV8ULadYlsWGDRvy16xZU/jwww/3uvnmm2uTk5ObN17Ky8vbluIICLBrNJo2G/bS09NzFAoFp1KpeJq+vLEILMvCYDDQHjI1cz+E9y1ly0WNXIIRsQE4nE9ksbyB48X1bQV3hE6mPYO74WKLp0obyU6NlxDup0TfMF9X5q3u9MVLoAEscVwsOlGN6hKiJuFNSBUMrr+zD/q2na3jAfwXwFIA5A7IfWQAmAlgIoBPACSKHRQzKAh39hqB/V/nojCTZPE8hbfffPeyj2UYBgufeM5pXUYrWw1csVqtkEqlAFAEYbMFgKBbJ5fLeQCYMmVKZnBwcKt63bFjxxp5nk9zdf3s7OycS/kYFBR0xTXADMPA19fXU6bkmiAMVpvpaJiUGEKCOy+BDFXxbDo8uMssaWjHSxA6k4mus3Z5APLd6Iq3MAuAkwBt2s4i93tC6DBCe/nixvn9oQ1WtnVYKoAnIWjTETqH/QAGQ9AIXAZh0FErlBoZpj8xCCcOluDw5nywNk+5n26bynMudakIAOw2DhajDXKVkHi7GNgBgnZic3DXFNgBQMsBKAQnfoFIcDcxIQRvbb9kfEvoAmQW14PjeNDOYubREF435e73itBEe0ohiAZ3WaTfzmu4wXVwJ6ptQ2gTCkKGphUXTtehvIDciHkDNE1hxM2xmLMoua3Arg7A4xB2O0lg1/lYIfQ59gew09VBA8dH4I4lwxAYrnabY4SOxSgui6AE4LJcheCSX8QWewVrEBtEXjPegM5iR36VywojImbeybRXcCcBkCxmyCwmmTtvQCllMDrOpXA5Ce6unMkQGUBEeu28A5WvDLNfGIrhM2LFdjab2AYgAUJvHckCeBYFEHrwboOLHeiAnhrc9vIwDJxABJq9AZuFhdUsKhfpcooYwSXFALLEDG307RO6GKQ003Npr+CuHxyaZwFAZ7ahoJr0DnkDY+IDIZcyYqYGAIfd7I438LzjQkVRI4pziGxIVyc4yge3LxmGsDg/V4cYADwM4FYAVW5zjHCl8AC2ABgEFxtYEimDcfP6YNIDfUFLPGGWBeFacCFq7gOApJuuHNHXDAnuvIeM8y717khw18m0V3AnWpKZfaERPJml4hVMShSdigQAvwLobOHUrkY0gCmOi2m/FrnfE0K7Ej8sBHMXJUHj79Su1cRfEPq61kEIHgieTxWAWwA8BRfivH2vC8OsZ4dCoWlzWCLBw7GY7LBbRZPoJHt35YiWZo6IDYBG3t4Sy4TOoI3M3XC0v4424Qro0OAuk/TbeQ039CX9du3IfAg9d800VJnIBL6uDAWMnNULNz0yABKZaIabBfAGgOsBnHWna4R2gQewGkIpdbbYAT3j/XD7y8MQ0JMkeboyLnrv/ACQyP3KOAqRqb9ShsbY3kGd4A6hvTlTqYPeIlrKrAYQ72Z3CC3o0OCODFPxDvr39EUPX9FMBAchc0e4fBgADzku5vxZSvI4XRSpnMH0xwdi2LQYV4dUApgAQTBb9JOQ0GXIBjACgmSCE75BStz6UjKiB7jsTyZ4OGaDDaxddAoq+U+9Mli4GErUxnA2QheC44GTpS7nagx2py+E1rRHcKeA0JPgBBmm4h1c73qX7QgAkm66MqYAiGy5wHE8cv4s6yR3CNeCQiPF7OeHInZwsKtDMiBsfh1yn1eEDsYEQbbiYYiUpMsUEsxYMIgMWunCmPWinQYk3XTliJZmTkgIAUVaVL2C3DKdK5NoXEBwD+1REztY7DzVegsu1Jva4fSEzmZsvMsbV5ejwgkuecRx4dyJahgbREuBCB6Mxl+Om58egoAwl2V430MowTW4zyuCG1kHocR2CxyyOhRNYdy8PpDIaGTsOt8pzrUkJNrzp/m3pxYfz/OwWCxQKFz2vraJyWCD2k/uuCyHUG52xa/n3377TePv78+OGDGiu90U/QYhg9eqVj3YR45B4Vqig+wF5JT9f/bOO7yt8uz/n6NpSd47y4mzB4QMQghJCKtQCLuFMgoU+jJbCilllhZaygttA7ykhZa00EJ/tJRCIQUaCIGEkTCSEBKytzNtJ56yJVnr/P44sbGlIy/Zko91f67LV+z7HB3fscZ5vs+9Yr5vJXKXRHoicqf7BK6XN22/IM1qYlppTqzD7ybSl35AEVpjhjZsWiFRO6ORVeDg4p9MbU/Y/Qz4DiLs+jsfoM100p3MfNLFI5k2d1hCHRJg955djJsynGuuvwKfz9fh+bV1NVTXVNPUpPXLCQfD+L26GdT5Pp9PqaioMFdUVOgW17rdbtMDDzxQ9Pbbb6c326666qrht99+e0vGxi9/+cvChx9+uLC+vr4nZw33RWqI0U1bumb2D7aUS+SuL9ITHyzH6Bk3HZRBzP2BE4blYrfo3sNqgDUJdsfoXENElLuxtomyDVE150IfJrvIyYV3TCEjTzcq4AUuBn6FVFGmCjuBGWhRiihOOG84J144PLEepThffLkaj6eRosKiTkXv/u/38xk3uZSSMYUUl2ZTMrqQnPws0tPTSU9Px+VykZaWhtlsznc4HFOKi4sn/ehHP9LNuy0vL7c89dRTxddee23pkSNHzAAulys0YMAAP0BFRYV5/vz5Az/99FOXxWJJhc8I3dTMU0Xc9Qu2lrsJh3VfxkOAmJEBoXfpibRMXXG3rSKmmhcMxOzRMVMy30MGL3cFBZ2UzM2fHELV/2AU+iC5A1xccPsknFlRKVugzXw8F6mvS0Wan/s/Ad+LPDj1m8OwWM18/K/tifYrJVn+0fsA/M+1N3Xq/InHTOa6q6/H6XBit6dhsVoxm0x89sUK3nvvPebNm0dOTg5+v5+ampq62tpa/9SpUz2tr/HFF1+k1dXVmVwul3rbbbcdamhoMB08eNBSXl5uUVVVaWhoMG/YsMH+0EMPFefm5gbvv//+8o0bN9rdbrfZbreHZ86c2V9TNt8Efh1pnDg4m4IMO4fdutNFBIPgDYTYU9XI8IJ0vcMT0bIbhATTE+Jugp5xa+xQrWAgZo2MWUMuKZldYzYwKtK4WVIyDUNmflp7wq4COAtYl1ivhD5EEK3Jig+IUhXHnT4Ek1nhw5e2JdyxVCIUCrH0/Xc4edYpjB45plOPufiCb3PxBd+Osj/5xzDvvfceN9xwA2PHjm02m4GoQsqHH364+N///neb2svf/OY3g5q/Lysrsx977LHZzT+feOKJ45u/nzFjhnvlypX99YWxGdgDDIs8cOqYQl5evS/R/gg9zJZyt4i7Pka84q7w6FcbgqEwu49IqYnRKciwM25AzEJ8EXddIypqt39LNfVH+utmbf/CkWHl/B/FFHYHgNOA/ro4EzpPGLgFbdj5bZEHjz1lMF63n1Vv7Um0X1E89p1zk/a77/hnz4xHffSxX6GqKnZ7GjarFZPJREVlBTW1NWRlZvH0wgVtzg8EAnh9XjweD3a7nZ/e9UC7148x0DwdrblKVMhpzJgx3i1btmxqampS7HZ7uykZgUAAq9XKCSec0DkFalxUtOjdDyMPzBldIOKuH7D5UD3nHDtA75A0VUkS8Yo73ajd7iON+EO6c2IEA9FO1G4HsDuBrhidHOCSSOPGjw8mwRWhq1jTzJz7w+PIKnTqHd6LJuxkMLnQjArMQ6u/vCfy4AnnDaexzs8mef/HzUv/epFD5QexWCxYrTbMZjMeTyMWi4UPPlrOBx8tByAQ8OP1eXE6XajhME3+JooKi9uIu917dnLJlRdyxmln8uhDjwEQDsXUZ/lomzq6TJ8+fcz69etdZrNZNZnatjYIhUKEQiHlO9/5zpGXXnqpLJ7/v4F4Cx1xN7kkW+dUwWhIU5W+R6+Iu61Sb9cvaGe+nUTtusYVaPMgW/A1BNj9pYwI7OuYLApn33hsrFby+4GTgVRZoAmdRwXuQ0vRfDDy4JwrxtBY10TZV9JMKR4+Xvo5aWkOLBZtKVNdU82UGeO547a7ufXmeS3n3fOzO/jbP/7KhtXbcTldqKqKx9M2u8jpdLHvwF5yc6Jnlb/wwgsUFhaiqio+n48DBw4UPvTQQ4dycnJadrEffPDBQ2632wRgsVjUk08+ue6JJ57Yr+f3WWedNdput4cBFi9evENRlP5eeL0CLardRukOzHZQnJlGeX3HHU2Fvks74xCOQUtjlv4MCSZecafbTGV7RUOclxX6AieU5sY6tCSRfvQDros0bP2snFBQott9GgXO+N54hozTfR9Uow2kF2EnxEIFfgE4gLtbHzCZFM66/hgWPbGWit3SWbq7pKdntPn5+RefJRwOc8V3rm5jX/r+Eo6dcBwupza6RFEUXK62NUIKSsuxSH7zm9+0fB8KhQBM999/fyZQ22w/9thj26RppqWlhYcPH647wNRisahms9aFOi8vLxUWvm5gI3Bs5IFJJdm8vaE88R4JPcb+Gi9uX4CMNGvkIQcwEtiaeK9Sm3hHIeiKO4ncGZ/8dBuDc3TT0FRgeWK9MTSlwJRI46YVkpLV1znp4pGMOr5I75AXmEuM2WaCEMG9wN8ijVabmbk/mEh2ke7nrNBFGhsb+NNzf+D8cy8iL/fr6Nunn69k34G9nH3m3G5f+4tVawkGgwSDwaNRPw+FhYUxdz/9fr+ydOnSnNzc3MnZ2dlRX4cOHbI1NTVFq8j+zad6xslDJDWzPyCpmX2LeMSdQoy0zO0i7gzPxMExP3C30Gq3UuiQqKHlh/e6qT4oDYf6MiOPL2TyN0r0DoWAbxNjoSIIOqhoDZWiMh4c6Tbm3jIRa5ruLFGhC6z8bAX17nrWrF3FK6/9sznCxlMLF2C1Wrnk4su6fe0mT9uB5g6HA5PJlE3EGiocDlNXV2f64osvtgSDwTWhUGiNqqprHA5HeN68eYdCodCaQCCwxu/3r/nzn/+8r6qqKpWeeH1xVyKj0PoD7aRmSlOVJBCPuBsIRCmApmCIPVUendMFI3Hc4KxYh1Yl0o9+wIWRhl1fHk6GH0InyR3o4rSrxsU6fB3w3wS6I/QP/GibAmsjD2QXOTnt6pivN6GTfOO0s/hk2RfMPHE2t9/1A2aefjw/f+g+lixdzFWXf4+BAwZ1fJEY+H0hQtFN4hSgTTFuVVWVOTs7e7LVap1qNpun2my2KXa7fYrX6zUtWLBggMPhmOJwOKbY7fapTqdzysiRI3Wzn/opuuJu4uAsLKZUC2L2P9oZf9bfu8H2SeKpudP9UNpZ2UBIhjIbnnYidyLuOk8u2ny7NuxeJ41U+iq2NDNn33gsVrvuhvq9wAsJdknoP7iBc4CVaOnaLYycUkj56UNY917i2sL31DiCvsSQwSXMf+RJfnjTbdx82/U88+xTAIwbOwFVVXXr6TqL3xPEkWGLNGfTKpOlefzB9ddfX3HHHXdUNtsnTZo04fLLLz9y9913VzTb7r333oHLli2LuYvaD9kC1BMhiNOsZsYUZ7DxoNSeGpldh2NmI0XN9xV6n3gid7opmdukmUq/YKJE7nqCuWidolqor/JSdUDeI30SBU7/3vhYNVAvA79OsEdC/6Mc7XMh6kNgxsUjKB6RSmv93qHR08jLr77Euq/WMmrEaI6fcgJ33nc737zwNFZ++nHU+Xv3lVFdU02TP2psXRuavFpqZigUwuPxUFlZyd69e9s8Yc3iLjs7OzRmzBh/85eiKFE2p9OZah21wsBnegckNdP4tDPbeiQgodkEE4+4043cbZN6O8MzOMdBXrrusOYgsC7B7hiZqJRMGX/Qd5ly5lCGTyrQO7QJ+D5a7ZQgxMtmtNdTG8xmE2ddfwyOjKiOc0In2Lp9C79+/GGmzZ7IYwt+zcUXXMLbi97nzVeX8NuHn2DHzu1cdNlcrrn+Cnbt/nos5Y23Xse4yaUcP0tr5Dj/yUcpGpZF0bAs5j/5KACzzphGTpELRVGwWCy4XC6Kioq45ZZbLICr+VrNdX6RqOrXHx2LFy9Ov+WWWwa9/fbbOc0dM1OIGHV30lTF6FS4fXj9uq9/F6A74VzoPeJJy9QNtYq4Mz7tRO3Woc1tEjomDTgr0rh7ndTb9UWKh2cy/YLheofcwMXoRFoEIQ5eBk4CbmttTM+2c+b3J/CfJ79Ela2EDqmtq+GnD97NZ6s+Yd/+vSiKwuyZc7hr3n1Mmzq95byrr7yOU+ecwQ9/fCNvv/sW6enpPPXEQgC+fdF3OPOMb2K32TGZzCiKgqIomEwmFEVpEWbhcJg0lwWz1dQSvRs0aBBoqZmNALW1tbpqLRQKKeGwFqgrLi4O/uEPfyi22+3q97///Qq98/sx0jGzn6KqsKeqkXEDdGfCjgKkRXgCiUfc6a6Edh+RZipGR+rteoTTabWjC+BrDHBwR12S3BFiYbGaOP2a8Zj0i/qvQWb0CL3DXcAJwIzWxsFjcznujCF8+W7i6u+MSnZWDpkZmeTm5HLJxZfxrQsuZeQI/RKfIYNL+Pc/3uTphQu47pobWuzfb/V9R6SlW8nMc0Sas4ADoAm3w4cPf+lyuVpSLoPBIIFAQKmvrzcDTJw40bdy5cpNkydP9qWlpaWahNdNyxxekE6200qtJ5Bof4QepANx90GC3UlpuivuHGjdMqPYXyPizuhMir2LJuKu80SlZO756giqNBvqc0y/cHisOrtfA68l2B0hdfADl6J10MxvfWD6+cMp21BFzaGeuZ9WlvXfZhWP/HJ+p881m83cevO8bv8uvzeoZ3YANsBvMpnIz89vk5tmsVhQVXVNax9mzJjh7bYTxqYK2I5O5tekIdks3yqZLUZmT+y6O2mqkmC6W3NXqmcsr/PRFEy1GuH+hUmBYwZJM5U4MQHnRRqlS2bfY8DIbI47dYjeoc+B+xPsjpB67AcuJ6Ke02I1c/o141GkRXyfIhxSCTTp1hVJJ5zOI/Pu+intZO6JuEsw3RV3uimZZdUymNnoDC9IJ92uG9D1oDUCEDpmOlDU2hAMhNi3qTpJ7gh6WGwmTr9mnN4CugktHVN3m14QepilwP9FGouGZTLpDN2NByGJxIjeSdFY55G6u37KniqJ3PUVelTc7auWlEyj087w8i+QxW5niUrJ3L+lJtaOr5AkZlw4gqyCqPoZ0CJ2WxLsjpDa/BSd2s4Tzi0lq1D3NSokiSZ9cZdBfN3HUwldcTepJJs4xhAKfYAOxiHI+yOB9Ki42yvizvBIM5Ue4YJIg6Rk9i2KSjOZeJpuVOQT4IkEuyMIXuB7RKZn2syccuXYpDgk6BP0hwhFl58oRAznFmLyFdrrvQ2ZaVZGFKQnwR2hpzjsbqKhSXfzIw0YlGB3UpruirsResayKhF3RqedyN3nifTDwIwExrQ2qGGVPetF3PUZFJh1iW6WiA9tgS0hViEZfAo8GWkcPCaHkccXJsEdIRaSmhkXAWC13gGZd2d8yiQ1s08gaZlCC1azwriBMTcfJXLXOU6JNFTsqcdT70+CK4Ieo6cVUTxcdxPjPmBbgt0RhNbcD+yJNM64aARmi2Q19RVipGZKU5XOE6PuTpqqGJ12UjNF3CWQ7twtFCQts18ypjgDu0V3Bms1sCvB7hiVkyMN+7fWJMMPQQeLzcSMi3QTDzYAv0uwO4IQSSNwc6QxM8/BxNMGJ8EdQY+AL6Q31saCNhZB6JgYHTMlcmd09kjHzD5Bd+bcFaPlz7ahsSnIkQaJThiZ42LX260mohZEiMmcSMPBbbXJ8EPQYfI3SkjPifr4ArgdaRgk9A3eBhYDZ7c2Tj17GJtXHsLX0PVBz4VD+345WE/O4lNVlaamJtLSdN/rMdlTtouyvXsoHTaCkiFD272+vymE3RG1hEpHp55MiEJ/mHm+C0UBVVYbhqWdtExp/ZtAuiPudLe9JWpnfI6T4eXxMhQoaW0Ih8KU76pLkjtCa1zZdiafpbtg+w/wXoLdEYT2uBM4i1bZNXaHhWnnlvLRS5I53BG79+zi9LmzOXnmKTzzu+c6LfK++PILbr7t+6x47+uSsMVL3sJmtWGxfr1cCodCBPEza84Mhg79+jNl3759GWazucZms6mhUAi/36+43W5TbW2tuby83Lp//37rtm3b0jZt2uQ4ePCg7ZNPPtmSk5OTisOBDwL1RDShsVvNDMxycKBW9LFROVTni3VIGqokkO6IO6m366ccK8PL4yUqand4r1tGIPQRTrxgOFZbVNpxAPhJEtwRhPbYCPwJuLG18ZjZA/lq2X5qK+R+2x5ffLkaj6eRosKiTgm7+vo60tMzyMnWNjgzMzLx+rxYzBZ+9ot7KK88RDgcxmqx4nQ6CQSDuN31rFixoo24mz9/fuaCBQuOa/7ZbDar6enpYa/Xa8rKygqOHDnS63Q6w06nMzxixAjfs88+m/uTn/wkFbttqcB2YGrkgWH5ThF3BqYdcSd55Qmkx8SdRO6Mz9A8Z6xDaxLph4GJqrc7uF1SMvsCmfkORk8v1jv0O7RFhiD0NR4ArkRL9QPAZDZx4gXDeXvhhuR5ZQCWf/Q+AP9z7U2dOv/C78xl4+avMJu1zZ9JM8YRCoX4z7/e5sOln+F0ODnt7FnM/eZ53HHb3fznrde4/gffY9iwYS3X2LNnD/fff7/5zjvv3OhwOAIulyuclpamApxwwgljRo4c6f373/++t/n8UCiEx+MxHTp0yOLxeJQRI0Z0Pd/W2OiKu9I8Fyt2VCXBHaEnKK+LKcwHoWUipGKkOuF0R9zpqu/9NbLTYmQK0u04bbovBy9wIMHuGJUocXdAxF2fYMqZJZhMURNyq4CHkuCOIHSGCuAR4OHWxuGTCsguckr0LgahUIil77/DybNOYfTIMR0/AJj/yJNYLGa2bN3MrXfcxL/+3yJsNhujRo7G6XBSXVPN9p1bmXjszwAo27uHNHsaBXnaiIpgMEhpaWnz5SY0f2MymVAUhVAoxOrVq9NffvnlAoBwOIzaqrAsPT095Ha7v+yJ/7+B0N1UG5bvSrQfQg/S6AuJ4xYAACAASURBVA9R7wuQmWaNPGQBCoHyxHuVenRH3A3QM5bXxwzFCgZgSG7MqN0upJlKZ8hDpxtU+U6pt0s2rmwbY2fofmzNB0R9C32ZJ4BbaFWvopgUJp9ZwrK/bYnrwvvv+ShO17rP4Edn98h1Hn3sV6iqit2ehs1qxWQyUVFZQU1tDVmZWTy9cEGb8wOBAF6fF4/Hg91u56d3PQDAlElaAMntdgMwasRoCguLWh634OnHKMgv5JTZpwFa2ufQoaUE/WGsdrBYLGzatImMjAxsNluFxWI5aLVasVqtqqIozJo1a/SoUaN8zz333F5VVQkEAkowGMTn85m8Xq/i9XpTcc6FiLt+SkWdT0/cgfY5JuIuAfSYuKusb4rTFSGZlLQv7oSOmR5pqD7YQJNHGjAmm0lnlGC2Rq2d6oCnk+COIHQFL9omxBOtjWOmF/P5G7tprE3t++5L/3qRQ+UHsVgsWK02zGYzHk8jFouFDz5azgcfLQcgEPDj9XlxOl2o4TBN/iaKCov56V0PsHHzBu6+/8dkZWVTX69txv3wjhsJhUJMmjiF3Jxcnnn2af7yzIuU7d3Dud/6BjW1Ndz2gzsINIVwZGi+jBs3DoDrrrsu99VXX81PS0sLWywW1WQyqYcPH7Zt2bLFMXr06AyAUCik+Hw+06mnnlr3yiuv7En4H65voCvuSvNE3BmdQ3U+RhVl6B0ajJT5JISeE3duidwZmZK8mON5dibSDwNzYqShfHfPtfYWukeay8qE2bpNun6H1q1NEPo6fwZ+DrRMeDZbTBx3+hBWvrojeV71AT5e+jlpaQ4sFm0pU11TzZQZ47njtru59eZ5Lefd87M7+Ns//sqG1dtxOV2oqorHo7Vsz8vN47xzLiQrMwurzcamLRspLCjihKnTKSoawMjho8jOzuGb3zgHgAfu+xXDS0cwZvRYfB4/mRGj7axWq2XEiBGet956q+XJmTt37sjS0lLf73//+/3Ntjlz5oy22WypXH+kK+5K8pyYTQqh6DmCgkFoJ5NPmqokiK6KOzNazmwUh92pvYNodIbmxtwtk8hd54iK3FWIuEs6E08bjNUe1SHTAzyZBHcEoTs0oG1G/Ly1ccLsgaxZvCelswPS09tGB55/8VnC4TBXfOfqNval7y/h2AnH4XJq9zlFUXC5tD41xUUDuPySK8nM1LpF3//gXUw+bipXX3kdAK+8/jI/vvtWfnLvbSiKVrfbXDO3b9thwqEwJvPXmQE2m01Zt26da8SIEcc225qamkzr1693Ll68OKe1bfr06Q0999cwHFVADa02LQCsZhODsh3SpM/ASMfM5NPVPO9CvcfUeQM0BVN5A8r4dFBzJ7SPCV1xJ/V2ycRsMXHsHN17yTNAKrYfF4zL74gYjm1Ls3CM/us7JWlsbOBPz/2B88+9iLzcvBb7p5+vZN+BvZx95tyYj/3ZQ/cxfspwvD7tT7x5y0Ze+88rbN66CadDuzduWL2Dr1Zt56tV2/nt//4fZrMZm81GwN921I2iKEyfPr3J4/Gsbf6aOnVqw6WXXnqktW3UqFHShS5WaqbU3RmaChF3Saer4i5GvZ2kZBodqbmLizFAmyGBAV+Q6oONSXJHACidlE9aelRRtx94LAnuCEI8HEFLz2zDMXMGoUQ1gU1NVn62gnp3PWvWruKV1/5JKKSJrqcWLsBqtXLJxZfFfKzf38SokWNwpGkplq+8/jI/vudHfPLZipZz8nLzWr7SXS3TKQg0td3YDgQCqKpqPnLkSMtXKBQiEAiYWtvC4TCBQCDVnz1pqtIPkUHmyaeraZkx6u0kJdPI2C0mirNiDnrdk0BXjMoJkYaKPW5UKRlIKhNmDdQzv4yM9hCMyWNonTNb8ozTs+0MGZ/L3o3VyfOqj/CN087ik2Vf8ORTj3H7XT9g/pOPcubpZ7Nk6WKuu/p6Bg6Iva6sqCxvI9h+ds8v+P41N6CqKouXvAVokcFm/H5/y/fBpraRu8bGRj799FNLcXHxJIvFoiqKovr9ftO6detcb7zxRm44HCYcDiuhUIgxY8akevROX9zFnrkrGIDy+pgva4ncJQgRd0J7KZkHiEgFEnQZH2moLJN6u2SSme9g8NhcvUN/SrQvgtBDlAFvAhe0No47aYCIu6MMGVzC/Eee5Ic33cbNt13PM88+BcC4sRNQVbWlZi6SvXvL2H9wHx8cHX7ejKIohMOaeBs+IVocqqpKoCnUcu2mpiZuuukm7r77bux2+yar1Rq0Wq3queeeO7K0tNT3u9/9bn8wGKSpqclUU1NjrqmpMft8PqV52HkKImmZ/ZAOau4UZLxWr9NVcVesZ5S0TGMjKZlxMzbSUH1IUjKTybiZuvtQ24HkDfcShPh5jghxVzqxALur642ve2rWXF+j0dPIy6++xLqv1jJqxGiysrK5877befGfL/DAvQ9x0omz2pxfXnGIfQf2ct01N3DN9VcQCofaDBj3er1kZmTx1aptLbbPVn/CHxb+Do/Xg8vpIhQIY7GZOXToEDNnzmw+bbzZbFYtFguBQEBZv36987///W9OOBxWAoGA0vw7duzYsX7EiBGB3v679FFiRO5E3BmZWk+ApkAIuzWqmZkDrYGO7Eb1Mj0SuTvcIJE7IyPiLm6ixF1tuXT6ShaKSWGc/tDyPyM7hoKxWQxU0qprtdlqYvS0YiC1N5S2bt/C62+8yvMvPkdV1REuufgyHv3lfFyudP7297/wi0d+zkWXzeWb35jLA/c9xPDSEQAsXbaE7KxsHn7g11jMFhY+9zSPPfko+Xn5XHDuxVxy8WVR9XpzZp3KSdNnsXXbZiaMP5agP8xXG9ejKAorVqwgLy8Pl8t1wGQyHVEUpc0oBFVVCYVC1NfXmysqKiwVFRWWmpoa8/HHH5+Ku+S64m5wjgOLSSEo4xAMS6W7KVZWWD4i7nqdnknLlAHmhmZo7Px2EXcdYwNGRBprKkTcJYuhx+ThyrZHmoPA80lwRxB6kgDwAvCT1sZxJw1g997Um3lXW1fDTx+8m89WfcK+/XtRFIXZM+dw17z7mDb16wbGV195HafOOYMf/vhG3n73LdLT03nqiYUA/OWFPzF75hxMJhMP/fwRSoYM5dHHfsWNt17HQ48+wEnTZzFgwEBMJhNut5vKw+Xs3LWTnbu2M3bMON75z3KCwTCXXHIJO3dqY2Htdjtms3mgyWQqVhQFs9ms7tq1K23MmDHZqqoSDAaVUCikNDdUmTZtWsPnn3++NQl/wmRTi9YsKL+10WI2MSTXye4jqb1hYWRqPP5Y4k63XkLoWXomcic1d4amnZo7GWDeMcNp1eAAoLGuCb83dWdPJZtRx+uO4vwPUJFgVwShN/gLEeKuoCSDsoOp13gxOyuHzIxMcnNyueTiy/jWBZcycsQo3XOHDC7h3/94k6cXLuC6a25osf/k9nvb1OJdf+1NXHT+t/nHy3/jk89W8PmaTzlSdQSPp5Fw+OvOmBaLhRnTtRTMUCDM6tWrsdvtpKWlNV+vHmhXcYdCIRobG00p3jVzOxHiDrTUTBF3xqXWEzPTOC/WAaHn6KGGKqmYTdB/kLTMuIhOyZSoXdIwmRSGHqN77/hLon0RhF5iE/AZEbM1Lbao+paU4JFfzu/0uWazmVtvntfGpjf/Lj8vn1tvnhd1biik1eOZzeY2gjAUDJNbkB15mZgtqFv7k5mZmepDgrcDMyKNpflOlqViLLOfUOvxxzokkbsE0FVxp7tqkpo7YyPiLi6ixF2N1NsljYGjs7E7o2bbuYF3k+COIPQWLxAp7qyxx9ZK996ewWzWF9ChgK4+syOdATuDzLrrh9R6Y0buRNwlgK4MMbcA6XoHGnySgmZUCjPspEV3NAKtOr8ywe4YER1xJ6kkyaJ0UoGeeTEgO1BCf+KNSIPZYsJk7sotXegpVFUlFNQVeLZE+2JAdMXdkByZdWdkJC0zuXTlTpCpZ6z3BZCGRsalg6idPLMdMybSIJ0yk0fpxKjSDYBFifZDEHqZfcC6SKPd0fWRCELPEEPcdZiaKXBAz5gdnYEhGAhJy0wuXRF3UQnlAPWxQ6+CASiRTpnxoKAXuZOau6SQPySdjNyotVQQ+G8S3BGE3iYqemdzirhLFjFSM0XcdYxuW/xspwQ9jUw7aZkSuUsAcYs7t6RkGprizJj3nt2J9MOgFBLxvgj6Q7irpcFQMhiun5K5HK3dtiD0N6LFnb1tow8hccSI3EXNZBGiqNIzZjskcmdkahql5i6ZdEXcZekZ630SuTMymbE/QKXermOiO2VWeiSZNUkMGad7z3g90X4IQoJYTcR4D8WkYEtLza6ZyUYid92mRs+Y5bBikn0Kw1LnlbTMZNIDaZkSuTMymWkxxZ1EOzomqt5OOmUmB4vNRMHQDL1DkpIp9FfCwFuRRquIu6QQlJq77uJH62jcBpNJISP2+kTo40hDleQSv7iTyJ2hyYxdgF+XSD8MSnTkTsRdUiguzcIc3SlwH7An8d4IQsJ4L9JgtYu4U1UVny+x6fGhYJhAoO16KBQKWcPhcJsPpvnz5+ffcsstgw4dOiQFkl8To+5OxJ1RqZGGKkmlKx8u0lClHyKRu7gYHGmoPexNhh8pz8BRuh9PHyJJskL/5pNIg8VqjpquVjhUt9l1n6InZ/Ht3rOL0+fO5uSZp/DM754jLa39ANrb7/4Xi8WCSdF0mM/nZfy4CRTkF+L1+bBavl4qqaiEQmFCwSCFhUUt9mAgiN1u165jMhEOa2Jv8+bN6WPHjm35z61Zs8b17rvvZj/99NMH9u3bZ1FVlZKSklRPgaoChkYac5w2yqpkw9SI1Mfux5GFpj1S/TXfq8Qt7qShirHJTIv5EhBx1zFRffe97pi7VUIvUjRctyT4o0T7IQgJZg9a3V2LylBMCharmaA/lDSnks0XX67G42mkqLCoQ2EH8MCv7qOmppri4oGo4TDbdmzlyd8+jc/n5e6f3aH7GJPJxKFdX5eLWSwWHA4H9957L9/+9rf5/PPPueaaa8jMzLSedNJJoy666KKaO++884iiKKrT6QwBLFy4MO+RRx4Z9Pjjj5f96Ec/0m0skiLoR+6kqYphCYVV6rwBsvSfw1ykr0OvIg1VUpyM2B+eIu46Jqo9o4i7JKBAUaluZGJlol0RhASjohO9S/XUzOUfvQ/A/1x7U6fOz8zI5JvfmMuHSz7l7UXvt9hdrnQANn2xi//9xW+ZMO5YNn2xi1/+7BHdrqRWq5Xi4mLGjh1LSUkJAHa73VxYWBh8/vnno+4Xr776au7gwYP9N954o664SSFkHEI/xB1bH7gS6UcqIg1VUhxJy4yLqJu1r0E2OxJNTrFTb3hzA7ApCe4IQqIRcdeKUCjE0vff4eRZpzB6ZFTPK11cznRde7OAy8vNw+V0YbGYte9dsdemDQ0NHDlyhLq6uuZrmK+55pqqjRs3OtetW9cyGuGdd95J37x5s/OnP/3pAbvdnurp4/rjEKTmztD49DvIAsQcsCz0DPHX3EnkztBIQ5VuY0I3LVPeD4mmYIhul8zPgdTNSxNSiZQVd48+9itUVcVuT8NmtWIymaiorKCmtoaszCyeXrigzfmBQACvz4vH48Fut/PTux4AIC0tjXp3Pdt3bMPri6PGS4V58+Yxb9681lbLOeec4z722GMbKysrW26427Zts0+bNq3h2muv1R0FkGJIQ5V+iC8Q8xbsSKQfqUgP1NzJYtao2C0m7BbdRUAQkCrm9skG2vzx/L5grEG2Qi+SXaS7Cbgu0X4IQpJYjfaZ3XI/N1tMKCYFNRw7IPTggw/2vme9/Ltf+teLHCo/iMViwWq1YTab8XgasVgsfPDRcj74aDkAgYAfr8+L0+lCDYdp8jdRVFjcIu5sNjuLl7zJ4iVvxu3TggULuOqqq/j4448577zzACy1tbWmtWvXbjGbzfzlL3/JA7j11lurbr311iq3221SVZXMzMxUvnnEiNxJWqaREXGXPLoi7nRXUJ4m2Rw3Kh2kZKZ6mkhHSNSuj5BTrPvRtDnRfghCkvACu4DRrY1mi6nfN1X5eOnnpKU5sBztZlldU82UGeO547a7ufXmr6Nn9/zsDv72j7+yYfV2XE4Xqqri8TS2HLdYzHznW1ew4LE/0NjYwPAJg7rljwo4HA6ys7NJT9dSPRVFMQ8aNGhSKBTCbDargBIOh7FarVNCoZCiqirz5s079Pjjjx/s9h/C+EhDlX5IO2mZIu56ma6IO7ue0R9K5c0mY9NOSqbU23VMdL1do4i7ZJBdpFv/sjXRfghCEtlGhLizWPu/uEtPb5uS/fyLzxIOh7niO1e3sS99fwnHTjgOl1P7rFAUpaVZCkC4nQgnwJL33mbj5g3Uu+tZ8t7bbNqyUfe8cFh3PWR+4403tubl5YWcTmf4vvvuG7hmzZr0JUuWbGtqalJqa2vNxcXFqX7z0I3c5UhapqHxxo7cSc1dL9MVcacbH2+SNDTDIs1U4kI6ZfYBFAWyi3Q3Abck2hdBSCLbIg1mS1f6pRmfxsYG/vTcHzj/3IvIy81rsX/6+Ur2HdjLVVd8L+ZjQ+EQjZ4G9u4rw+uLnlX66PxfAeB0uHh0/q+oratBVaMFYSgY5PHHH+ell16ipqallM5y9tlnNzT/kJ6eHjKbzeqECROauvc/7ZfoRu6yJC3T0DRJWmbS6Mqnv27kLiCRO8OSEXvGnTRT6ZhocSedMhNORl6aNrS5LTXA4SS4IwjJIlrcWVNL3K38bAX17nrWrF3FK6/9k1BIW1g+tXABVquVSy6+LOZjG9xu3lz8H6bNnsjJ35gedfz9xR+3+Zp3652Ew2EaW6V2qqpKk7+JwYMHtxmF0NjYaCkvLzc3+xOJz+dT9u3b15WN9v6IrriTyJ2x8QVF3CWLrnz6626h+CVyZ1gyZcZdPESnZUrkLuHEaKayBakZFVKL7ZGGVIvcfeO0s/hk2RfMPHE2t9/1A2aefjw/f+g+lixdzFWXf4+BA2LX0VXXVvP9791I2ZYKNq/d3eHvuury71Gxp64lzROgocFNOBzm9ttv5/e//z233XYbAG+88YZ5wIABkywWy1SLxTLl5ZdfLti/f7/dbrdPsVgsUxwOx5SJEydOiP8vYGikoUo/RGrukkfcNXcSuTMukpYZF9ENVSRyl3CyCnTFndTbCalGykfuAIYMLmH+I0/yw5tu4+bbrueZZ58CYNzYCaiqqjt4HGDf/r0MGTSEtLQ0QqHuze49WK71QykuHtDGfuqppypLly7dVlBQ4Lfb7erdd989aNWqVenLly/fGggEcLvd5pqamtSYXREb3XEQWQ4rJgU6KIkU+ihSc5c84m+oIpE7w9JOWqaIu47RqbkTcZdoHBm6GxT7Eu2HICSZg2jR6hb1YjIp7Y5DSOYohN6k0dPIy6++xLqv1jJqxGiysrK5877befGfL/DAvQ9x0omz2pxftm8PjY0NjBk1rku/Z91XaxlWUkpWljYl6quN61EUhVEjR7U5b+DAgYwdO7YJ8AM4nc6Q2WxWR40aJakeXxNEKwfJijyQ5bBS45F7qxGRUQjJI+60TGmoYlwkLTMuotMyG+RenWgcGbofS0cS7YcgJJmwqqpRN2OTST9S1R/Zun0Lv378YabNnshjC37NxRdcwtuL3ufNV5fw24efYMfO7Vx02Vyuuf4Kdu3e2fK45R+8h6IoHDdxMvB1x8vWUT6fzxf1+xYveYs5Z81g7bo1AHy04gNGDh9FWpqD6upqtm7VEgjsdju02kgPh8NKOBxOnSem8+jW+rvsqV6OaFwkLTN5dPZdoyBpmf2OdtIypaFKx0TtMPo83UvnEbpPWrrua1iaqQipSAhok96n9HNxV1tXw08fvJvPVn3Cvv17URSF2TPncNe8+5g29evGKFdfeR2nzjmDH/74Rt5+9y3S09N56omFADz3tz8zYdwx5OXmsX7Dl6xa8zkANpsNm03bPHrgV/dxwrQZqOEwHk8jW7Zv4e8vvUA4HGbwIK1xykcrlnP6Kd9ADalcd911LFq0iNLS0ihx19TUpPj9/v79xHQP3RuoKUYqrdD3kchd8uisuNM9LxgKSy60gZE5d3ERFfUOy0ZHwnGIuBMEAFIxcpedlUNmRia5OblccvFlfOuCSxk5YpTuuUMGl/Dvf7zJ0wsXcN01NwBQUVmO213Pdy//HgAbNn3FfQ/cidPpYvq0GbicLk44/kT+9o+/8tf/92zLtaxWKyVDhnLn7fdSkK8lcbz4l3/R0NBAOKxyxx13MHbsWG666abmh7TcbN1ut7m+vl7CUdHoKgFLP38N92faEXdSc9fLdPYDJkbUTpSdkbGYYmblRuegCJFE/fGil1ZCbxMjLVPEnZCKRIs7c/9fGD/yy/mdPtdsNnPrzfNafi4qLObdNz8kENBS6s845Uz+uOBZZp00p0W0vfHKOwSDQbxeD6qqYrXZcKRFBx7GjRkPaCMRZs+ezezZs1sfbnkili5duhNBD10l0N83KPoz/tgb3jLjopeJS9y188QJBkBvCOtRUq/NWteJ6m7Wzt9T6CUkcicILUTdkJvTMivL6hPujFFoPfC8sLCIi87/dtQ5FouFjIzMzl1Q/zYgCqVjdMWdWdIyjUvsJZE8qb1MZxfxMuOuHxKKLUZSvS1zZ4h+74i2Szh2l664052ZJAj9GVVVoxbHEvXoM8gT0TH64k5ew4YlLAGEpNHZP7BE7voh7dRLyhuvY6LTMiVyl1AURXfxGgaakuCOICSbmJE7IXHIXaDbxEjLTLQbQk/RzntBPph6ma50y4xCFrPGJhxb3UnkrmN0xF0y3EhdYgwklh0nIVUxRQ7qtjnMZJqlMV0isdh01YjuBnky6YPrt2F6xv/8cJYoZqMSW8KdlEAvUpLOijvdBZO0qDU2EjKPC52GKnIHSiQxohIi7oSUxGKxhAKBQEv7fgCL1YzFKnt1fYC0ZDsQid/vtyqKUpNsP1qh+0I1KYrEefof0lCll+nsIl4/XC7iztBIzV1cSOQuycT4+BFxJ6QkDofjQH29NE4ROkdtbW1GOBxenGw/hJREVku9TGfFne6CySzxHUMTjr0MFnHXMdItM8nEiNzFHKwjCP2ZgoKCbTU1NRw5cgS/3y+fR0IUqqrS1NRkraioyK2oqKgNhUILk+2TIAg9T2fTMnUXTDFqXgSDIGmZcSFz7pKNRO4EoQWn09lQUlJCdXU1e/bsIRSSfY6+QjgctgWDwfxk+wGgKEpNOBx+KRQKLZw6deqeZPsjCELPE1fNncwfMTbtiDuJ3HWMdMtMMjE2l+RJEFKVSrvdzoABAxgwYIBmqKykrKwsyW71HUKhENXV1YRbpa0EAgE8Hg+HDx9m3759NDY2cvXVV2O1dq8sqKSkhKKiokjzC8BN3XZcEAShC8QVuZMZOsYmFLsBiETuOkbm3CWZYED3Y8mFFtOTZ0NINQ5EGnbv3s3ixVJWFQqFePfdd1mzZg3BYLDdc2fOnMmSJUu6/bvOOeccPXG3odsXTB12AFMijXuvvwHfxo1JcEeIl8xzzqb4/vv1Dq1ItC+pRnziTrSdoWkn0CSRu46RyF2SCQdVAv4QVlubl6sZSAfcyfFKEJJGZqTB7/cnw48oysvLWbZsGWVlZYRCIQYMGMDs2bMZNWpUu4/bv38/y5cv58CBA5jNZoYOHcrpp59Obm5um/MqKipYuHAh4XCYrKwsbr/99jbHly1bxpo1a5g9ezZ5eXls2LCBLVu2cNppp1FUVITJZGL9+vUcOnSIU045Ja7/q0l/MJvkyHaM7g00VFNDqLo60b4IPUDY44l1SGbR9jJxNVSRbpnGpp1umRK56xh58fcB/B7dXfjsRPshCH2ArEiDz+dLhh9tKCsr49lnn6WiooJp06Zx0kkn4fV6+fvf/87atWtjPm7fvn08//zz1NTUMGPGDKZMmcK+fftYuHAhlZWVbc5tbGzkrLPOYtCgQbrX2rFjB5MnT+bkk09mwoQJXHrppdjtdsxmM6NHjyY3N5etW7dy/vnnY7F0ds9bnxjp4iLuOkZ/3SHF7MZFibmUlCe1l4krcmeW0J2haSctUyJ3HRMVGbI5LFAjG1KJpMkbxJUdNR84B9iXBHcEIZn0SXH3xhtvkJGRwY033ojdrr1XTz75ZF544QXeeecdjjnmGN36tnfffZf09HSuv/560tK0MXFTp05lwYIFrFy5kgsvvLDl3OHDhzN8+HAOHjxIQ0ND1LVyc3PZuXMnFRUV5Obm8tVXX9HU1ERhYSGqqrJo0SKmTJnCkCFD4v7/SuSu2+j+4WR+rHFR9N8LIOKu14mroYoE7oxNO2mEErnrmNpIg90R346v0HWaPAE9s0TuhFQkL9KQbHFXVVVFVVUV55xzTouwAzCbzUyfPp1//etfVFZWRkXcVFXlzDPPJD09vUXYATidTsxmM57Y6V66nHnmmbzwwgv88Y9/bLFNmzaNkSNH8sknn+B2uznttNO6+b9sS4zIX6/mxypauNCuqmpCn3BFUSyqqgZb/WwGwmqrxYWiKDcAw4H5qqoeaedyTj2j2iQbpoYldgBIxF0vE1/kTtSdoQnJnLt4qIk02J0i7hJNk35aZk6i/RCEPkBhpKGxsTEZfrRgtVo5/fTTGT16dNSx5sYmrUVfM4qiMHjw4Jafa2pqqKio4OOPPyYQCOherz2ys7O55ZZb2L17N42NjRQXF1NcXExVVRXLli3jiiuu6HZ3zEhai9FW1PXIxWMzElirKMpS4LKORJ6iKOcDQb5eZDuA9UDF0e9b75opaGsCi6qq5a2uYQH8iqI0X8cEWIERwK5Wjz8eOF9V1XsURSkClNbXaUWGnq/hJL+GhTiInZYpkexeJq7IndTcGRuZcxcXUZE7m7NnFgdC54kh7nL1jILQzymINCRb3GVmZjJr1qwou6qqrF69mry8PPLyogKOUTz//PPUViZ83wAAIABJREFU1Wn66LjjjmPq1Kld9sVisbRp4KKqKq+//jrHHXccw4YNAzTBGW/NnZ5YRed+0cNMR+sUfKiT0bvH0SK9B9Du9+OAa9GE3dMxHhOm1cavqqpBRVG8wCPAK8AJwPNAg6Io7wKvqKr6zNHHNefKXg38r6Io16uq+teI64u462co5phLScm17WXiE3dSc2doZM5dXERF7tIkcpdwvG7dbKehifZDEJKMAhRHGruavpgolixZwr59+7jiiitiNSBpw9lnn82RI0fYsGEDGzduZPTo0YwfPz4uH1auXInb7eaqq65i/fr1LF26FLfbTXFxMeeddx4DBw7s1nWTFLk78+i/Czp5fh3wsaqq31MUpXV34WYRVgBcBvwPcAbwXWC+znUCQLmqqlsURWl+/fmB8qOPfSbi/MvRonovRthNaOI0irDX28n/ktDXUNIcsQ7Jk9rLdDZCoxIjZ9xukSCPUZHIXVxER+6k5i7h1B3WvUeMSLQfgpBkiokYhRAMBvukuPvwww/59NNPOfXUUzschdDMmDFjmDlzJjfeeCPjxo1j0aJFeONY9B8+fJjly5dz3nnnceDAAV577TXGjx/PpZdeitPp5MUXX+x21DOGuOu1yN3ROre5wFJVVTd38mHRXWc0VICjtXENQLDV97FIVxQln7YNfV4AjlcUZUwrP2cBk4Gfq6oaWSwdW9iFJIPPqJhduk8ryKiiXqcrq9EGdNKdXHYLTcG+MUtH6BrBUExxZ0ukHwYluqGKS8RdohFxJwgAnBxpMJvN3HjjjVRXV7c0Nmn+Plnpmp9++inLli1j2rRpnHxylMudYvr06Xz11VeUlZUxduzYLj8+HA6zaNEijjnmGEaMGMFrr71GSUkJ3/zmNwEYMWIEv/nNb9i2bRuTJ0/u8vVjpGX2SOROUZSH0KK0PrQN9zAwAG1tVqsoyk8iHmJFa1TiAnyqqt531O4FshRFGUuMRiZd4ImjX61ZDnxO2yY/I4AP0FI4I5GUzH6IScRd0ujKarQRHXHntJmplvefIan36dYrgU7XNSGK6IYqDqm5SzT1Iu4EAeDESIOiKC2NQyLx+Xy6oq+qqqrXOmyuWbOGd955h0mTJnH22WdHHXe73bhcLkwmE1u3bmXRokVcffXVUf4HArodcjvNihUrqK+v57vf/W7L9Wy2r/czLRYLZrO5W7/HZDLpiTsVqO++x224FhiE1gzFj9aYwnX0528c/QJtg9aBtm4zAXbgENAs7pqAC49+xcuPgL8Bs4A3jtoygBmqqoYVRbkaQFXV54HnFUVxKoqiqKraeuWYrnfhdoZgCwbA5Iy5b9BeJFjoAboauYvCaZPyLKNS0xgz4hpVmC9EER25k5q7hOOu8hEOhTG1LdwuRFtcyO6gkCpM6MrJaWlpDBw4ULeuzOPxtAi91sKvuroav797WTrr16/nrbfe4phjjuH888+PqrPbuHEjr7zyCqNGjeKKK66gtLSUYDDIsmXLuPzyy1vOC4VCfPjhh9hsNoYO7XppbWVlJR988AGXXnppS/rkyJEjefPNN1m9ejVDhw7l008/JRgMMnz48C5fP0ZKZj091/p9HOBtHj+gKEoe2kzPX6iq+uvmkxRFeQq4AShSVbXx6KiE1mGUIPC8Ts1dd/CqqlqrKErrNWIlYD7aSVMBTIqi+NHWnArwC+DBVudL5K4fIpG75BG3uHPZZEFrVKpF3MWDjELoA4TDKu7qJrIKogq3RwBfJsElQUgGXVciMXA6nTidTt2B3m63WzfaV1NT0zLaIJJNmzbx+uuvk5aWxqBBg1i1alWb4yUlJTidTux2O5mZWtmgzWbjnHPOYdGiRTz77LOMGjWKYDDI5s2bqaqq4oILLsDhiNmsQZdwOMzrr7/O+PHj24xSmDx5MgcOHOCtt94CtMjdeeedR35+fpeuD+DSX8xWdvlCMVBVNXJRfBNaZO7ZCPtc4Ivm6NjRuXOt13Dt1tUrinIucBxa6ua5wMQYp8a6zmlo90gvmpCbCZyOFlHMBA5HnC/irh8i4i55dDUtMwqHRO4MS1VjzOGgIu46RiJ3fYS6w149cTcaEXdC6pCQocAZGRlkZGS0jA5oRlVV6urqokTfRx99xL///W9UVcXr9fLOO+9EXfOss87ixBNP5J577mljnzRpEk6nk48//piVK1eiqiqDBw9m7ty5Ub+/M3z00Udt0jGbURSF8847j9mzZ1NbW0tRUVGXhWMzMcRdpJDpEY5G3G4HXm49HFxRlNloHYMjO1W2xozWCGUY+jV3vzr6b+PR73PRIm6RWIAfK4pyGa3mi6qq+mErf9xojVl2tuOPpGX2QyQtM3nEH7mzy4LWqLQTuev6lmXqITV3fYTaikZKxkeVA08FXk6CO4KQaGxAVJjt8J/XY8l3Yh2cjrXAiTnbjslpRbEonRo/0BUURSE7O5vs7GxGjPi65PXKK6/k6aefpqamRrfGr66uDjV212ZGjx7dpYHlF14Yu4Rszpw5zJkzJ+bxZv/jobcjdxHMQetQeaKiKN8F/qGqagi4E21Ewd/aeWzm0cd/S++gqqqTWv+sKMr1wEJFUVzN0cCjqZ52YD+wDa0WcArgOtrBs0ZV1ahNB0VRbECOqqoVrcwSueuHmFwxxZ1E7noZqblLYWo8MQvGc9C6bMVXud6/kchdH6Fyj+594oRE+yEISWIi0KbYK9Tgp2lHHU07dJo0msA6MB17aRbWgelYCxyYs+yYHBYw97zwM5lMLcPKI0cfBINBampqdFM93W7jrf8SKe5UVX1LUZRRaE1SngMeUBTlDeA84ClVVfe38/A84HfAXWi1eEfaORdVVf8E/CnCnIGWlvl/qqr+V1GUU9AatJwH/AEgoubOhxYxtABVtN1EjiHuJHJnZCQtM3nEnZYp4s64hMIqNY1+cly6kw/y0AaRCvpErZpsDgsms0I49ogJoReo2KPbiO54tIWEDEkS+jvTIw3+fe2sncIQ2N9AYL/Ofq0FbCVZ2IZmYhvowpLvwJxpw5RmAVPPCz+LxUJBQQEFBdGVAH6/P2ZHz744vw+0ekUdeityh6qqZcCNiqL8Bm0w+Lyjh9Yf7UgZ62Y0DChTVdWnKEp3dyUHH/33YIR9OXASmoDzAw8Bs9HGdVjQUjCzIh6jL+48ErkzMpKWmTx6IHIn0QojUx1b3BUg4q49QkAFUNTamJGXRl1l94frCl2nttJDkyeA3dkmLTYdrbPchuR4JQgJI2oMgn9vNzfGg+DfVYd/l07Ez2bCXpqFfWgm1mIXlrw0TBma8FNMPSv6QGuq0t4oBz3RV11d3WujHDpDgtMyAVAUxQVcjbahtQWtZOAZ4H8URblTVdUPIs4vRft83NjF3zMV2KmqanPWymS0MQ/bIk49qKrqllaPa0SrudvbzuVz9IzhBhF3RkYid8lD0jJTnGqPP9ZQMGmq0jE7iBB3WQUOEXeJRoXKMjdDxkXV3Z2AiDuh/xMt7tqL3HUXf5imrTU0bY0qN8bktGAfnoVtSAbWYhfmvDTM6TYUm7lXhF9z581BgwZFHWtsbNQVfVVVVXHPyOuI5m6fEfSKuFMUZTxwGVrHzAK0GrsfoK3VbgB+CyxXFGURcKeqqtuPPvQsNFG2+ujPzR0vW6J8iqKkqaoaqZIvBK5VFOUiVVVXoXW/3KqqqkdRlFxgzNHzIju1memgOyfaIPYoglXtZosKfRmTqb3Inaj2XibutEwZhWBsZBxCXOxEa/Hcgk7XRiEBVOyu1xN309FqUQShv5IPjGxtUMNq74i7dgh7gng3VOHdUBV1zJRpayP8LNl2TOk2FJupx9M8QYueuVwuSkpKoo7V19frir72Rjl0hZwc3QDU7rgvfBRFUXKABWgDw4ehCbL3gAdUVV3Z6tRnFEV5G03wXYAWKbnq6LEfAOtUVT2iKMoUtBRK0ERZ84LgcUVRPkYTZS60OYr/c/TnsqPnnAH89+j3zx39PbtVVY0Ud3YiakJ10Bd3lb3SaFRIAKbYHWcbSVB331Qm/sidXSJ3RqaqQcRdHES1ds4qiLlTJfQiMeruZiXaD0FIMDMiDcFKD2pT3yk1Ddf78X55GO+X0Qt1c16aJvwGZ2AtdGLOOdrR09o7wi8zM5PMzMx2RzlECr/a2lrC4c6tRWOIu11xO/61nzWKotSh1bP9DXhRVdWtMc4tUxTlVOAnwO8BFEUZgFbvtvDoaZPQGqs0Ah+jrfNWoEX+bm51uQCaSH1AVdXmSOQ5fF0r9xhaSugfdVzJJEbaZSsG6hmDh0XcGRVJyUwuErlLcWQcQlxEibtMidwlhYrdOjVCMB4oAdqr9RAEI3NWpCHRUbt4CFX58FT58KyqiDpmGeDEXpqFbVA6lgInlixN+JHAUQ4AoVCI2tpa3Rq/+vr6llEO6enpWK1R43DcaEKsx1BV9YddODcE/LrVz4eORuuaC+3/C1wOvN9KtM062mTFidbp0q+qalStgaqqG1p9/xHwUQwfYs+n+BrdyF2gslfLFYVeRMRdcumKMotq/Q6Q7ZTZXkamWgaZx8OOSIOkZSYHrztAZVk9hUOjal7Opv1hvoJgVBRgbqTRt133Vm04goc8BA95oneVTWAdlIG9NPPrUQ6ZvTfKwWw2t4xyiPIxGOyonm8XrWrZ+gKtB56rqloOvKRzThDQTYfoBazEWG+EJHJnWNqZcSedMhNAV8Sd7rssV7/TomAQqqTmLh6iI3f5adqSq0/dzlODsg1VeuJuLiLuhP7JWLS6qxbUsIpve3TDk35FGAL73AT0IpQWsA092tFzYDqWvOZRDuZeG+VQWFhIYWFhrFN0O6wIbShCu2u2IVhbi9rLDXCE3kMid8mlK+JOt22RiDtjUyPiLh6q0HY3W27gFquZ9Gw7DTUxI6JCL1G2oYppc0sjzaejFfMnrz+6IPQO50Qa/GX1qN74G4MYliD4d9bh39nOKIdhzaMcHJgyrJjsvTPK4Sj9I4zau8RopiIpmUbG5BRxl0wkcpfiSOQuLlS01MwprY2ZBQ4Rd0mgck893gY/jvQ2n0lOtOG5S5LjlSD0GtEpmVuqk+GHMeholMOI7K9HOeTae2qUQ+QMOCEafXEnKZmGpp3InaRlJoCuiLtqtPalbeaVZKRZsZlN+EPS2dSIyCiEuNlJhLjLyndwcJts2CYaVYW9G6sZMz1q6PFcRNwJ/YtMYHak0bdVxF13CHuCeL86gver6AQlU5YN+/Cjwq/IiSUnDZPL2tlRDmt7xeH+hUTu+iFm/c6xINHshNAVcRdGS0OLWvTnumyU10vWkxFpR9zloQl5Ue3tozMOQZqqJIuyDVV64u4iYB7yWhb6DxcRcf8O1jYRKPckyZ3+S7jOj3dtJd610WLDUuDAVpqJbXAmrmlFemLv44Q4aWxkDEI/xBK7DvVQIv1IVUwdn9IG3XdbXrqkZhqVpmCYhibdGg0zHc+mEfTEXaGIu2Sxd2MV4egsgiHoRDkEwcBcHWnwbe7RjvtCJwge9uL5vAL3e3v1hF0D8FkS3DIakpbZD7EUxEz+EnGXAHpE3EndnbE57I5ZHzY8kX4YlKhxCJn5Iu6SRZMnyN5Nuqlp3020L4LQS5QAp0YaPTqRJSExWPQ39DYDKdzdptNIWmY/xBo7cncwkX6kKiLuBHYf0Z1PD1qrbaF9oiJ32YVOncbOQqLY9ln0QGTgEkBUt9AfuJKIT5jAES/+vdKELllYC3Vnem1OtB8GZbCeMVgpkTsjI5G75NIzaZki7gzNrsMxmxeNSaQfBuUAEa19bQ4LOUUxB3gKvczu9YcJ+KI2zLPQ6pQEwcgowDWRRs8XuhsaQoKw6Iu7LYn2w4AowEi9A4Hy8gS7IvQkloL8WIdE3CWAroq7GLPu7D3gipAsdh2WyF0chIHVkcbCYTK7NlkE/WF2fKG7D/X9RPsiCD3MNHQ23SQlM7nYBmfomTcl2g8DMgBIjzSGvV6CIu4Mi2K3Y87O1jsUBuTDKgH0UFqmtQdcEZLFToncxcvnkYYiEXdJZfNK3bT+04ixSywIBuH6SEPTrjpCMlczaShWE9Zi3ZleUfcFIYrRekZ/WZk220YwJJb8mFG7SqQONSH0kLiTyJ2RaSdyNwqta6bQPtHirlTEXTI5tKOOmnLd1/XtifZFEHqIfHQaAzVKSmZSsQ5KRzFHFVnvRdLPOoO+uNuzJ8FuCD2JpTBmvZ00U0kQPSLu8mUUgqE53NBEvTegd8gODE2wO0Ykqt113uB0zJauvr2EnmTzCt211XVoi2RBMBo3AGmtDWFvEO96aTyRTGwluimZnybaD4Mi4q4fIjPukk9XV5+6T0xxVpqeWTAQ0lQlLg4QsSNlNpvIHxJVSiAkkI0fH8Qf3VjFAdySBHcEIR7swA8ijY2rylH9UXMdhQRiK9HN0pD5dp1Dd33h370nwW4IPYl0ykw+XRV3+/SMxZlpmE3S+93I7JRxCPESdTOX1Mzk4vcG2fSRbhbID5GxCIKxuBIY2NqghlUaPpEsp2RjGyKRuzjQjdw1SeTO0LQj7uQDK0F0Vdy5gZpIo8VsojBD6u6MzM5KidzFiTRV6YOse38foVBUZKMAnXbygtBHMQF3Rhq9G45II5UkY860YcmKWvsEgLVJcMdoWIHhegckLdPYSFpm8ulOUdBePePAbNkINzK7JHIXLyLu+iANNU1sX6XbcOInSLMgwRh8G53PYfeH+5PgitCaGCmZ6wBvgl0xIsMAS6QxWFNDuK4u8d4IPYZE7pJPj4m7QSLuDI1E7uJmNdCmd3NWoZM0GROSdL58V/cjawRwdYJdEYSuYgUejjT6dtYS2B/zM1tIEJKSGRf69XYStTM8UnOXfHowcidNVYxMWZWHUFh3rkwxkJVgd4xIPbA50lg4TPfmLySQqgONlG2s0jv0EOBMsDuC0BW+j85sRvf7uuXvQoKRTplxIZ0y+ymSlpl8JC1TAMAfCrO/xhPrsETvOkd0UxVJzewTrH5rt555EDL3Tui7uIAHIo2+7TU07axNgjtCG0wKtsG6HZFF3HUOfXG3W/ezWjAIitWKJSdH75AKyFDOBCHiTmhhZ+xh5lJ31zlkmHkfpXxXPTvXVuodugetwYog9DV+hJY50Ya6t/ck3hMhCmuxE8UaVbZ7BNiVBHeMiKRl9kPMsVMyD6M1GxISgNTcCS3IrLu4iYrcFQ/PQpExIX2CT17bSTi6c2YG8PMkuCMI7ZEH3B1p9Kw/TOCA1Nr1BdqZb6db3yC0QQEm6h0QcWdspJlK30Aid0ILO0XcxcsGoM0f0e60UjxcShb7AnWVXjbqz727iRgpQoKQJP6XiFpnNaRSv6QsSe4IkaSN1k09k+HlnaMEyI00qn4/TTLA3NDYBg2KdUjq7RJId8TdISAYacxyWEm3R3W1FQzELknLjJcA8G6kcegxeUlwRdBj1Vu78fuiPr4swO/QdpMFIdnMBG6INDauKid4RDrs9wksCvaR2XpHlibaFYMyWc/YtH0HBCRzz8jYSofFOrQjcV4I3RF3IUB3wM6ALOmYaWTaEXej0JlHI+jy30iDiLu+g9cd4It3dJMPzkRGIwjJxwYsjDSGfUHq39N93QpJwF6ahckWVW9XhU7dtaCLrrjzbdqUaD+EHsY2bFisQ9sS6EbK0x1xB1J31y853NBEvVd318wGjE+wO0YlStzlD04nPceeDF8EHda9txd3tU/v0BPoNLAQhATyE3Q+a+uWlBF2+5PgjqBH2tiojEKAt9E2v4WO0Rd3m6OmCQkGox1xtzWBbqQ8PSruBufKyCijs/FgfaxDMxPph4E5CHwZaZToXd8h6A/zwd917zM5aOmZgpAMRqLT3Me/z03jJ9KLoC/hGKMr7qI29oSYxBB3ErkzOhK56xt0V9zpDiIZnu+KwxWhL7CmrCbWoZMS6YfBkdTMPk7Zhiq2fV6ud+jbwEUJdkcQTMAzQJsQvxpSqfn3dum/2Iew5Duw5EdlKYWBd5LgjhEpAAZHGtVwGN9WWf8bGXN+PuaMDL1DTcC+BLuT0nS3jkp323tEgYg7o9OOuJPIXed5C7ivtWHw2FxM/5+98w6Pssr++OfOTHrvCS2ETkCKNAuIFDuWtaxtVRQruura64r1Z2+rq6sioqJiQUBApAkKCFKk9xZ6SCO9Teb9/XEnkGTuC5lkMkkm9/M88xDumXfmBKbcc88532MTOOx6l9ZU+P3b7bRNjSYo1L+m6b/AQsD0zaDReJgHgeE1FwuWHKD8kGkvdIvGMAwyCrOpcByvhCxz2CkqKyajMJvdOfvJLjrK6H6XExXkOcXiwG5KlcxlyJ47zckZoFos27MHo6jI275oPMgJsnbbkQcgGi9R1+Bui2qxQ1xoPVzRNAVW7zXdz6YASWg529qwHMimitSzX4CVVp0j2b9ZxwtNhZKCcn6fvJ1zx/SoaUoEJiAzeDoa1zQ0A5GjD6phzykhb64efaDi3aWf8+Hyr8kvO3Hge0n3ER4N7AAC1SWZMz36JL6NMrgrXrfe235oPEyALslsMtQ1uFP+R7WODCLAZqHUrgP05kpucTnb0/PpnKBMrZ8OTPGyS82RCmSJzrVVF9v3jNXBXRNj+4p0ugxIoH2v2JqmS4H7kSIrGk1DEQ58jeK7OGfKdozypvdduv7wVt5Y/ClrDm3GMAz6tkrlkbNuIzW+k0euSy/IZMQnN5JbKkeG7nv0t2r2L9dM4/Xfx3P7wKvpk9Sd33av4Ot1MxjT/yqGtO+PBcFve1by46Y5PD/yPo/+7sLfSkCKMljU/Xa1Z6BqsWSDDu6aO7rfrulQ1567fOCAy4NZBCm6767Zs1KXZnoCl5Nc3XfXNFn09VZKi5Qqsa8Cp3nZHU3LQQAfAB1qGvIX7ad0+1Hve3QSFu76k0u+uJMDeemMPvUKbul/JYfyM7j48ztYts9FR6pO1x3MO8JDQ8YwrMMg5WMt2LmMER1P56lhYxnVbRivXvAIXWNTqHBUMKLj6fRt3YPpW+bz3Mj7iA5WzqKrMwGdIhE2l23TQWCtR5/IdxHozJ3PcoIZd1op08vUNbgD0747XZrZ3FmtRVU8wS/UKOmLTAgmIl6PC2lqFOSUsuBzZaW5DfgW0FG5piG4Ebiu5mLZ/nxy5+zxvje14K0lE+gY3Y6ZN33M/WfexH1n3MRPN/6PlKg2vLNkokeu69sqldH9rqBPUnflY6VEtWHVwY38uX8dJfZS5mxfzJ6jB+galwLA03Pf4tRWqVzSfYTnfnEnJv12s9Dl27WlHVJQpRpGeTmlW5SfwZpmhM7cNR3qM5h6C4oG8A5aVKXZc4LMXT8gCCj2njfNlkxk7121zE9yjxjWHdnfOB5pTNm1JoO18/fRe0Tbmqa2wOfAxeiGcI3nuBSpjlkNR6mdrK+3QEXTjBXKKsqICorA3+p3bM3f6kd0cCTpBZkev07FvWfcyLJ9a7li0j3H1s7rPIRre41i9rbf+XXXchaM+dytx6wtegRCvVGXZG7bhlGm5zg2a6xW/Nu6fH9WooM7L1Of4E5n7nyU3ZmFZBWUEhPqMnjbDxngLfa+V82SmdQM7k6JZd2vOrhriiydsoPEDuEkuPbUXAg8BTznfa80Pkgq8D2K79+jP+6gIqvE+x7VkjH9r+JfM1/i0dmvcUPfS7EKK5PWTuePvX9xa/+/e/w6FRGBYfx044csTfuLA3npdIppR7/WPckpzuWJOW8wbsQ/iQ/1fLLdr1UI1giX78RyYJ7Hn8x3GaxaLNElmQ2GYRhkVlRQYRw/MCo3DIocDrIqKkgrKyO7ooLro6KItFrr/Dx+rVoh/F2Up0GqTmslWS/j8eBOZ+58g9V7czgnNVFlOgMd3NWWWcDzVRfadI0kKMyP4nxlj5emEXFUGPzy8Ub+/uQAAkP8apqfBfYgs3gaTV2JQMrmu3z3Fq5Op2hNhvc9coMre57PpiM7+HjFt3y19qdj66O6DuOxobd7/DozLMLC4Pb9qq09MedNTknowpU9zweg1F5GgE252awTwX3jVcu/ITUINLVjmGqxeK15v6av8Gl2Fp0DAhgS4r0EyIdZmXyanU2B48RFJxeGhdUrsAPwT0kxM21Dly17nfqWZbqgxyH4BqvSTIM7LapSe9YgB3ceq1WwWC106hfP+oUuekSaJkB+dgnzPtvEqLt7q8zjkUJS873rlcZHsCCFN5RSxEen7vSuN3Xgw+Vf88mK7xic3I9Luo/AIizM2rqQzRk72Za5m1MSu3r0utoyY8uvLNr1J/PHTGTR7j95au5b7Mk5QPuo1jw/8l+c3UFZDVh7LBDcRxnc/VC/B25RxAGnqAyFy//0siveZVVREW9mZHBxePhJg7vNJSW8l5nJiuIi7IZBamAgt0XHMDS0+nWriop4LyuTdcXF2ITgtOBgHoiLJ9mZPZt8NIf/ZGYyOiqaU4ICWVpYyPe5udwYFcXpwSEI4I+iQn7Ky+PJ+IR6/466365pUR9BlX0oeq9CA2wkhLuULmiaGSv3nFBURXjRleaMA/iq5mKXgcqgWdNESFufxcqf96hMNuQoEOUGRaM5Cf8Bks2M0Vd3QfjX5yu5YdmeuYeXFn7Idb1H8fU1b3Ft71Fc3etCJl71KkNTBnDt5AfILnJV+KzrdbUlszCHJ+e8yVPDxlJYXsyYH56gT1J3Pv7bi/RK7MatU55gR1b95gUGdo7CGuaSBSwDJtfrgVsWZ6kWy/buxX7Id8fnFjkcPHH4ELE2G4+fJIhaWVTEdXvT2FpawnWRUdwcHc3RigrGHtjPlNzj75FFBQXcvG8vR+x2bo6O5vKICJYVFXHt3jT2O3sXfyssZGhICA/Hx3N+WDjPJSbR2T8Au2EwNDSU3kFBzMrL58n4BKJs9cnzSE4w404rZTYC9fkmcWASkevsXfNn/YFcytTzCmOBzl52pznzZc2FxA4RRMRp1cymzPLpu9iUOy8gAAAgAElEQVS2Il1lCkeW27bxrkeaZs49wNgT3SGoRyxxd/ZW9XU1CX7bswIDg/vOuMnFNva068ktyWfWtkUeu662PDHnDVLjO3Fdn4v5ceNc4kKieWfUU5zfZQjvjnqK2JAopm6qX1tc8KnKTfl0ILteD9yyUJZkFv25wtt+eJU3Mo6wr7ycZxMSCT9J6eMz6YeJt9mY2j6F++Pi+GdsHFPap3BqUBAvHzlCicOBwzB4Nv0wHQMC+CG5PffExvFofALfJCdT6nDwZqYs7U7282dNSQmriooodThYUJDP3vIyOgfIz5cX0tPpHRTIBeHhHvk9deauaVHfY0ItquKjlNodbDyYa2bWIxFqzwZgXc3FLgPrXwahaUAMmD9xEwe2KTPYbZBiOUrpPI2mBlcC79Tmjv6tQom/pw/+bZWVm41KhbNvx2px3aBWOCoAKCgtAuQgcrvD7vZ17vLjprks2r2CVy94BIBiewlBfgFYhOXYcwb7BVJcXneRGhFoJShVKdCi+2/d42zVYuHy5V52w3v8UVjIN0eP8rfwCJeyyprsKStjd1kZN0dFE1olCPQXgn9ERVHgcLCttJQdZaUcttsZHRVNoOX4Fj7FP4DzwsJYWlgIwJ0xMbTx8+OGfXvpu30b9xw4wOCQEK6MiGRefj6/FxbwdILnqohOMONOB3eNQH2DO2XfXdeEpvfFpHEfPczcY7hk73RpZtPHYTf4+cP1ZB8qVJl7IXvv9Aw8zYm4EVm65/Jdm3NI3XdrDfMn7vZeBPVyGQfWqAxp3x+B4L/LJlVbNwyD13//FIDT2vVhxpZf6f/+5Yz54Qm3rnOXIwVZ/HvuOzw+9HbaRiQBMKzDaWzPSuOtxRPYkZXGm4s/ZXtWGsM6nHaSRzMn+JQ4hJ/Lf18mMLvOD9ryiAd6qAxFf/pmv11BRQVPHT5Egs3GXTExlBsn1hQJEoJ/xcZxliIILHNeG2qxUOSQP4dYXLfvoRbrsecJt1r5pl0y49u05YXERL5ql8x/Wrch3+Hg2fTDPB6fQJwHyjEBRFAQfklJZuYdHnkSjVvU9392o2oxtZVn0ryaxmVVWg63DVGadObOPb4GXqFKr2JkQjAJKeGk785rPK80J6W0yM6M99Zy5SP9CHYtl+sDLABGAk1b5lDTGNwNvKcyrJ33M/M+fp+zrr+Z/hdfjhDV25iFn4WY67qRFx9E3ry93vD1pHSP78itA67i4xXfsu7wVs5KGYDDcDB/5zLWHd7CP/pcSp+k7hSWFREeEEqr8AS3rnOXx355nS6x7bnp1MuPrQ1p358HB9/C20sm8uaSCViFlYeH3OqirOkOwacqhVS+Qo5B0NSOs1WLZXvSsKcry9+bPa9lZHDIbkcA5+7eRZAQXBsZxb/i4rAKV9mCBD8/botxPSt0GAbf5BylvZ8/7f39yXM4sAJzC/IZGXY8kVLicLCosIDUwMBjaxYhOD2kuoL9c+mH6REYyKURcuRPmcOBvyJQdIeATp3MTPsB5emopmGpb3D3l2qxe1IYFgEOLX7arFllnrlLBaKQ80s0J2c/sJAaPQfdT0/SwV0zID+rhBnvr+NvD/TFL9DlI7MXMsAbARzxunOapsrjwEsqw66/VjJ//AcA/DZpAkfSdnHB3Q9iUWywwkcmY4sLJvu7baDugfYq/x5+D93iOjJx9Y+8t+xLBIKucSm8dv4jXNN7FABnJvdj4/2z3L7OHb7fMJvf96xkzs2fugTG9585mmt7j2JX9j46Rrer18w7a3QgAa5zL0GXZLrL2arFwj99syRzU0kJ3+ceJdpq5eboaOJtNubnF/BpTjYlhoOn3CiHfC3jCGtKivmgdRssQhBptXJZRAQ/5OYSYbFyeUQEhQ4H72Vlsq+8nLtjYk0fa3Z+HosLC5nePoUlhYU8n36YveXltPPz46mEBAbXcUxDYKrp4cyGOj2gpt4I4ySp4pNgAXIBl1fEiDcWsjNDB+zNnd8eHka7mGCV6SKksISmdowGJlRdKCu2M+HRxdjLGn/Tpjk5rTpHMuruXqoAD2ATMsA77F2vNE0MgQzqHlMZd69ZxfQ3XsJeVlptPT6lI9eMewW/KqfuVSnbl0/m5xtx6PmYXiVsRDsiznERON2IVMzVx9e1ZzPQrebigYceIm/GzEZwp2F5+vAhZublMaV9Cu2rDPb+9+FDTMnNZU6HjrTyc5ml6sKHWZm8m5nJvbGx3FklaCt2OHj80CHmFFQfsdg9IIDvkttjUWQGs+x2Ltmzm/tj4+gXFMTlaXs4JzSM88LCmJ2fx7yCAqYkt6dDgPuCTonjniHqmmtUppeAJ91+QE29qW/PnQM5t8eFHq2Up12aZsbKNFMxsHO86YcP8B1QUHXBP8hGR3XJj6YJcnD7UX56by1lJXaVORWZnTWd5KrxeSzIMkxlYLdt2RKmvfa8S2AHcGT3Tj66+2byszKVD+zfNoz4u/vi1ypEadc0DCHqz+fP0YGdOySiCOzAd/vt1hYXMzA4uFpgB3BVRCQOYF2JyxQxF77IyebdzEyui4ysFtgBBFksvN26NT+ndOCTNm05JTAQG/B8YpIysANZjtk1IICrIiOZkZ9HrNXKK0lJjAwL45WkVsRYrczMr1slUWB308ydsrpP0/B4YqiO8j9P9935Biv2mAZ3F3nTDx+gEPim5mLqma0awRVNXTm0I5ef3l1DWbEywOsKLAdO965XmiaADZmZV4472LhoPjPeeYUKu/J1A0BJQT4f3XML+zcrW9mxRQYQd2dvAtXKjRoP458cji3GZWSNAUxS3F1jztmqxdLdu7Ef8c1WZQtCKaBSKYxic7bfZ9jt2BX3++7oUV4+coTLIyJOOGA82d+ffEcF60tKGBMdU63frioz8nJZXFjI84myHLTY4SDQYjkWCFqFIMhiobguvVRWKwFdu5pZdXDXSDRccJekgztfYOFW0w/fzuh5d+4yvuZCq86RRMTrmXfNicO78pj+zhpK1QFeHPArcLV3vdI0IgFIRcwbVca/Zs9g9gdvYzhqUX7tcDB53KOsmTMTVcuExd9KzD+6EzZUj1lsaEyEVOYBaplTjRnq+XY+PAJhUEgwK4qKWFd8PEPnMAw+zc4mUAj6BQUxOz+PoTt3cM+B/dWunZ6by7Pph7kwLJznEhJdekqrkm2383x6Op39A7grVt1rl2G382J6Og/ExdPaT2YSh4SEsqusjPczM9lVWsp7mRnsKitjSIj7lQH+KSlY1EFlHrDb7QfUeIQGC+566MydT3Aot4TNh0xT9Rd60xcfYDmyN6sa3c8wlRDWNFHS9+Qx/e2/KClU9kAFILO0T1FFIVXjk7RFCupcrjIu//FbFkz4ENzsbZ8//gPmfvSeMiAUFkHEBSlEXdUFrPrl1RCIACvBvZWjKLSQinsI4AKVoXC5b5ZkAtweHUOszcbofXt5If0wH2Zlcu3eNH4tLODBuHiibDYiLVbCLBaSbMd77+bk5/Hk4UOEWSycEhjI10ePMikn59htS0n1eY3PpaeTV1HBS0lJ+JsEgePSD9MpIIDrIiOPrZ0REsI9MbF8mJXJqD27+V9WFvfGxrooa9aGE5RkrkG2bmkaAU8MudiIlASu1h0aExpAYnggh/PqPjxU0zT4dcsRuqszsRdRy+G8GkCW9IwH3qi6mHpmK1bO3IO9XH8ONieOpOXz4xurGXVPb8KilSeXzwNdgNsA10YrTXNnFDARk2H2v3/1GX9O+77OD75+wS9k7k/j70+/hK1G7w5ASL8EbNGBZH25GYf6kEFTR0L6J2BxFU4qAH5sBHeaM72RByDVMBwOn+23A4ix2fi6XTJvZmYwMy+PYsOgS0AA77RqzTnO8QWnhYSwvHOXY9csKijgoYMHqQByHQ5eznAVX34sLp5uzizZrLw85hTkc0d0DD1MyjGn5ebyR2EhU9qnuGQAx8bGclVkJLvLSknxD6jzzLsTKGXqksxGpL5qmZX8hZz5VI0xE1cwf7NWB2/u9E+O4vu7lKPtypBDnAtURo2SOGRZT7XDkIVfbWXjb7rapzkSHO7PhWN7kdDetFphJfB3dImKr+AHvAg8bHaHeeP/y9o5nhETDo6M4sZX3iUkMkppt2cVkzlxE/YjRR55vhaPgMSH+qv67f6LnF2oqT3PAONqLhatWUPaNdd63xsfYnpuLt/mHuXTtu1Ms3beoN1nEwg57TSVaTTy8EvTCHiiLBN0aaZP89e+oxwtKlOZ/JEDnDW1JwOFsErfkW1pxM9nTT0oyitj6hur2bHa9CCrP/Iz8m/e80rTQLQDFmES2DkqKvj5/Tc9FtgBFB3N4aO7bubwzm1Kuy0miPixvQnoog7+NO4R2C1aFdgBvOttX3yAS1SLBQsWeNsPn+OSiAi+bJfcqIEdnLAsc7U3/WiOCCFsNf5uFTVSrEKI24UQLwshzAcYKvBUcLdGtZiapMch+AIVDoPftpkKq2jVTPd5veZCRHwwKX2UPR6aZoC93MEvH29g1ew9ZneJAKYA7wPKwZGaJs/FyO86pRpqflYm3z77OJt+8/zG1eGwM+mJB9iwcJ5aaCXQRuzoHoSeodV360voma1Vy7OBrV52pbnTBjhVZchf8KuXXdE0BH7JyVgjlPv8UmCLl92pNUKI1kKIXkKILkKI9kKINkKIVkKIROctSQjRVgjR0Xm/DjWuv0QIcaEQ4nzn7W/O+4YKIeKEEJFVblFCiFghRGKNx7ABZUKIMiFEiRCiDLDjOk6pPzDaMIxMIURCzccxQ2fuNLViwRbT4O5CtGiEu6wDfqm52Pecdo3gisZjGLBs6i4WfL6ZCrtp/+RYZJlmb+85pqknfsgDmemAMj2266+VfPHovRzY6qKX5FF++eBtfp34MYahFlqJvKQjkZd1Aov+SK4LtoRgAjtFqkxve9sXH+Bi1WLZ3r2U7djhbV80DUDQKaeYmf5CanE0VS5EzujeimyX2IdslznkvB0E9gI7nPe7tcb1byJHorzu/HkKMAS4ATgC5FS5ZSMrtqr13RiGYQeKgeeQbW2Vz1EghJgrhLjD+XcHx1ufbgT2CSFGn+wX9FRwpxxk3jY6mIggP5VJ08xYtO0IDvUMlFaYnM5pTshrNRcSO0SQ1Elnu5s7m5ceYsrrq8jLNB1U2x1YgfxQV3fCa5oKnYHfgAdVRkdFBb9NmsCPrzxLcR0HALvLXz9P57vnn6KiXL13Cj0tidibeyCCPKGX1rIIG6LM2m0B5njZFV9AWZKps3a+wwmCu6aullPo/DPIMAxhGIbgeMbsnMo153o6ULOhOReYZhhGT2BglfXKICwO+CcyNooD/oUU1KtJOXDYMIwtyGASpJbFYVwDSoBrgV3UYtamp4K7PGSE60KftspTME0zI6eonDX7jpqZdS+R+yxAkfHue25yI7ii8TRH9uTz7Usr2LXGNOPtBzyNzOKO8JpjmtoSDryKVINWqgXkZ2Yw+dnHWDH9B7dHHdSXfRvX8em/7jANKAM7RxE/tje2GH12UFus4f4E91HOtnsX9cas3giJ2/9JzhKwc4QQ7T3vlUcIA4arDAW/6n47XyGwl2lwt8KbftSBytKHDkKITkKITkDl5qtV5Zpz3aq43kxE0AAwDCPTeR97lZ/NCHX201U92f8c6C+EODYdXggxGOgL/NswjJNmRT0V3IFJpN4vWTd5+wpzN6WbmXRw5z4GiuxdSq9YopJ0S5YvUFpk5+cP17Po663YyyrM7tYZORh5IvKET9O4WJAqb9uQoinK0pOdq/7k80fv5eDWzV50rTp5GUf4aOxoMvbuUdr94oKJv7sPAR11NUBtCD2zNcLmsiXKpmFn23UCMoUQU90M8gYis4kBlQtCiEuFEBcIIUZWuZ0nhLhCCFHt1NDZc1TZGxTt7OXpIIToI4Q4VwgxWgjxkhBiuhBijRAizM3f61yk4Fo1KnJzKVqldTZ8ApvtRGIqTT24q2QjsN15W+hcm1hlbTugEjIpBiKEEN2Q447qw1vIss2pVdYWImOqmCprHZFiXrWar+PJ4G6JalEHd77DLxsPm5lSga5mRo0p3wFpNRf7jNS9d77EhkUH+O7/VpK5/4QTQ25Eln+NQX1SqGl4BgF/ABOABNUdHBUVLPpiPFNfe56SgnyvOqfCXlbG5w/fw9alv6uFVoL9iL2lJyEDa9WD32IRgVZCBin/jd7jeAlXQzAICAEOGYZx0qHAQogIIYQFGXQC5AohgoQQfsiZs9OQ4i8/IVWZv0VuBmvWmz7E8d6gLGA/ckO+DPgMuB75vV6E7Etyd27BparFgkWLwG5386E0TZGATp2wqOfr5SKDouZAbcsya1IKXAZsBlbV04d7kb3cVXtUw4DTDcNYWrlgGMZEwzDOBgKEECedNu/J4G6parFP20isurnbJ9iVWci2dNMNjc7euY8deWpTja4DEwkOdx1arGm+ZB8q5PuXV7Jy1p4Tia1EA58g6/QvRQsVeYsk5GntMqr3T1QjL+MIk8c9ysoZP3q9DPNkzHjnFRZ/87kywBNWC1GXdyZiVAf9ijIhdFCSamh5MTK4a0jOdf5Z2zELi4AKYKbz7/uRAdggINUwDH9gA/B/hmHEcrxv59iMTWcp50tAIhAJBBiG4WcYRgzyPTDdMIxzDMO4zDCMa5CB3ZdOxb82tfDRhomKtu638x2CzEsyV3K87LGpUt9PQjsw0Rn8uZvVrkmxYRhHqV66eQSoEEKUI9/DHZyqmg7kYZPpjNVKPBncbUBRVxoSYKNbYn1/d01T4QTZu8u96YcPMR55enoMq5+FXsNr8x2qaU5U2B0sn76Lb19cwcEdpv2rAD2QJRpLgbO94VsLJQB4FFmCeaPZncrLSvnj+6+Y8MBdHNzWZNW9+XPqd/z46nNUmGRGwga3JuamHogAnRiuhk2YjT/4FFku1SAIIazIIGieYRi1re+9HegH3OL8+0jgTGCjYRhFQogYpGBTZTahA1CCFGiolF/fjdw8HgaOAqVCiAohhB0YCtwuhLA7bw5kMFmI/LfYUAsfz0AeVFXDKCujcPHiWv6amqZOYM9mK6YCEOr8s1gIYQghDI4fgMytXHOuJwA1B1+eMHYSQoxCKmJHOH/uZXJXs8cZ7rymOzAZKbbSHbk3OI1alIp7Uk7Ljjz1cRlq3b99NBsPekdJTNOwzN5wmH8O76wyDQDaIiVlNbWnAPgAeKLqYs+zWrPq5zTKS017tTTNlOxDhfz4xmq6n5HEGZd3IjDEVFH4NOBXZG/NE9S//EMjCUL21T2M60yhamz943d+mzSBvAzTAfVNit2rVzDxobu57sU3CAwJdbEHdYsm/q7eZE7cSEVOaSN42PQI6Z+I1bVSwoGUOPcIQojnkdmCEqQangOZMY4GjgohHqpxiR9yHmYIUGIYxhMAhmH86Xy8yjlTWwzDqHri+jiyjKxS3XMQsNNwpnQNw7ALIVKB/Cq+2J03A9n/uwWp9CeQe0Qr8iAkgNqp+ypLMgtXrMBRcMLSdE0z4gSZu+bQb/czUuW9EFli6QCeBfYgq2esyMDLH/marxnAWJFCKO1Rz619wflnofPnaNTZQhvwgBDiGqqM2TEM47fKn4UQ+Uhhlp1u/H4eDe5AnjS7BHf92kUyUVm0qWlubDyYx/6cItpEKUU/LgP+42WXfIH/IHsgju0wAoL9SB3cirXzdazskxiweckh9qzLZPBVnely4p6oc523uch5W7Np+mUvTZEY4G7kxlXVJH+MI2m7+fWzj9i/ab1XHPMkOYcO8L87R3Pjq+8QleSakfJLDCH+7j5kfbGZsrSWfegq/C2Ej1D2OH+LlBz3FDcj+97syICqAhm42YFznDeQ3wFByE2hBRlQHQKeEEL0Qh4E5iDLKQE+d2YAVyB75/6FbJHoIIRYitxUvlTVkcosoRDiY+AKZFmn3elTK+TMrUoFX5vTn1mGYdxci9/TClyjMhQs0CqZvoIlIoKALqY6Ik06uHP2q1Vm6kqQ4wgcyP3rZMMwDgohKg82Kt+PNTe84cgs9xWq5zAMo0+N57wN+EgIEWIYRqFzTSDf3/uR1SOtkQFniPM9nWMoBpoKIfyBKMMwTBUOwbNlmWAmqtLeJUOvacacoDRT993VjcMo0uynnpeMny6h8mmK88uZ++kmpry+6mSlmiA3gDORTdxjkZtDzcnphjxA2Ys8nTUN7Irz85j3yft8+dh9zTKwq8ReVsKn99/BztV/KvvwrKH+xN12CsF9ldL/LYbQwa2xhin7m1/x8FN1B/ycvW0hyIxxKfCUYRiRlTekmI8dSDAMIxi5wezmfIxMpAjX98B/kdm3w8hAdAlSTOV2wzCmG4axFXlgOAR43blZrEkF8rOkD9AfmeVbDfyIrBo4zbl+xOlrbTgbGSC6oPvtfIfgfv0QFmX4UDkMvClzDjKgykH21dqRwV0UcKezFNOBPIQpQJYjz6vxGDHI75QgTnJQCGAYxsdOgZaq4kxhyBjsbcMw7kEKIoEUVsnEteeuxPn3UqTK5wnxdHC3HMU8mNaRQSRF6Hk7vsLsDabB3VCgZe8W6s4bNReCw/3pe65WzmwJHNqRy4+vr2bGe2vJ3H9SFcYuwPvIL6hXkH01mur4IU9V5yM3sPegLp8BpArmX7N/4tP7bmft3J8xHL6RGJ36ynMs/3GyWmjFZiH66q6En5fcIoVWLME2ws5S9jZ/A6zx5HMZhpFvGEbVZsg7kfuv8TXuehGwunITaEgKnD8fBCYYhvGZYRhfITeffxqG8T/DMH5CtkZ8UqV/7mPgN6Sypiq4K0cGcHuq3E5DKmVWXUtFBoK14R+qxaIVK7EfOlTLh9A0dUIGDTIz/UoDzYT0IL8h58V1Q44XaAf8DxnopSDLpave/sA1YG0PpDkVbuta31754XOwxvpCZN9qV+SopK+RB5NdnGu9qUUixdPBXS4mDbd6JILvsCoth8wC5evZgsmHu+akbEG+iavR55x2BEdo5cyWQtqGLCa/uII54zeSe6ToZHePBB4BdiJL4u+mZc/KE8ApHO+d+B6TQcpV2fXXSj5/9F4WTPgfJYW+1xO0ZPKXzHj7FRwV6v15+LB2RF/fHeHn6e1A0yZsWFuVQqYdeLohn1cIEQrcD3zrHHBcuT4EOUh5qtm1wFtCiAwhRKXAwylCiGuEED05PrIhAamEmQjcAVQYhlGmeCwD+N0wjNDKG/A7ML7GWm1T2MHAlSpD7k/Ta/kQmuZA8MABZqYmn541DCPbMIw1hmFsNQxjFzLAuxn4j2EYewzDOFz1hgzwjo2sEkKkIAVZTpo9q4oQop8QIrLKUl/ke3BbjbseNAzjD8MwthmGsQf5vrYbhrHXMIxdhmGsMwzj95M9X0N8mut5dz6Ow4BfzLN3Y2iR58Ae4Unkaewx/PytDLpYJ2ZaFAZsX5HOV+OW8+uXWziaftIgD+B0pGz7IWTp5nW0jLJNP2QA9w6yR2od8G9MSsMqqbDb2fjbAiY+fA8/vjyOrH0u4yZ9im3LFvP5o/dSVlystAf3jCXuzt4qYRGfxBoZQOjpypfIR8COBn76oUAEcJoQ4h9VSiYfRmbTvjjBtQHAZsMwKv8j/4EUgBhaeQfDMDIrb8jSTTP8AJtzkHmkc+NpA/xrrFlRDCRXcAnHVQiP4SgrI2/2L7W4XNMcsEZGnmh4+UIvulIvhBDBQojHkT3sS4GnFPfpgszSbaqyfB4yKFvp/HtlHGVUuU5VqngZsEEIURkZjwC2OlVuozk+K7pm5qRS3MUtPC2oAvIf6c6aizq48y2+W7Wf609LVplSkbX7y7zrkU+wG7lBf6DqYrczkli7YB/ZBxtylq6mqeFwGGxafJBNSw6S3COG3iPa0rb7SfuXrcCFzlsxx9U25yCzw029ZKY2RALnIzeTFyI3yrWirKSYdfN+YfWsaeRnNZjKfZMka18aH429mRteeYeIeNcZ7f6tQ4m/pw+Zn2+ifL/vZTCrEn5OMsLmsl8qAp5v6Oc2DGOmEKIzUgH3U+AZIcRPyF6b9w3D2H+Cy5OoHrA9ahjGe05xhkvhWGawkoATPFYIcoxCJsdFJQKR39/XIjeUVuetNiMQlFU7BQsX4shr2cI9vkTwANOs3R7nrUkjhLgKWbJ/EfL1/i7whGEY5VXu8y7y/VipdDanykPcDaw1DCNTCHEqsoQSZFBWeTj/phBiMfI9FIIcYXCr8++VJ4kjgVnOnz9Fvn93G4ZRM7irrUptNRoiuFNm7lKTwgnys1JcrqXdfYE1+46yLT2fLgnKGYZj0MFdXXkROcPoWPreYhGcfllHZv53XeN5pWk8DFmumbYhi+hWIfQe3pYugxKw+Z1UbCeI44EeyGb3ykBvAXJT1xywIfsNRiIDuqG4+d2VfWAfa+b+zKZF8yktarmHJKVFBXzyzzFc9fSLtOvZ28VuDQ8g/o5eZH+7jeL1zeXl4R62hGAzIZm3cM6Da2gMw0gD7hBCvApMQqpcAqwTQojK0QUKOgDthBDnVF00DMOokgF0ydbVfEwhRADwIbJnNx8Z3NmRJaHbkVnEyoxdBHJel79JeSfIXvvzVYa86T+ZXKJpjjTnkkwnq5AKshOQYiYqVdzPkAcfq4BvDMNYAyCESEK+Hz5y3q8PUlilEFiMFGBZgpxHeVeVxytHHt4/YxhG5VydCzk+AP0N5OHrhwpfwqkyJqG2CPPPkDojkKVBLkeD1328jKU7szz9fJpGYszgFJ4elaoyFSBPGH37+LfheAh4rebi1DdXc2DbSRUVNS2AwFA/Us9sRZeBCcS0dp1nVkvSkF9eq5AqeatowKHNtSQK2TDeGznEtTfy1NPtk0tHRQU7VixjzZyZ7NuoD0ZqMvTGW+l34aXIpI8ruXP2kL/A90axxNyYSlBqTM3lLGTvTa63/HBKsj+CLMffjlTvOx0pJf+wYRiLaty/FVLY4T3kAaoVeMgwjEj253MAACAASURBVP847TcgN5pV56oMRn6fXFFVqc85n2t3lftVzrrzR2bwyjk+56vyBdL2BFnFfyIzINWoOHqU7UPOwigvV1yiaY6kTJ9GoHoMwk3UYrh2c0cIEQv4O0cmJCIVYhdUCdoQQtiQPagCKKtSRu09PxsguAP4Abi85uJ/f93Bq79sbYjn0zQC0SH+LHt8BP6u5S0gG1Q/865HPkMg8hSnWt3rkbQ8vnt5pW8U1mk8RkzrELoMTKTzgATCouutSrwPWYK1Bxn87anyczr1f/XZkFnpKOctmePBXG+gbX0e3FFRwf4tG9m5cjnbli2mIFsfJp6I1LOGc95d92NRy5pT9NcRsn/YBnbf+NDxTw4n/i7XjCXwIB4cWn4inEPEr0G2r8Qhe+zuRh6G3o482AtDjjZ42DCM7c7rbgVeRUqvv4EUZclyXvutWbZPCOGHPCBZ68zwVQo5BDuvz+P4EPNpyEDzIeTG1ILso4tFlp2VG4ahEpJYDgysuZjzzTccHvesG/86mqaMNSqKLn+YDq1ORqo6apoADRXc3YNimPXafUe59H1l1aammfLf60/lwlOSVKbFyBk7mrpxPfBlzcU54zeyfcUJZ1dqWioCWnWKpMvABDr0jSMo1OPiGCXIsrUY5Ml+mXOtGPl+L3b+3cbx4K1qIBfF8TIUj1FaVMSetavYuXI5u/9a6ZOKlw1JQodOXD3uZfwC1AcDpXvzyPp8E46C5p99ibujFwEpLi2a+5BlvyUN9bxCiChkZmswUqDBQI7peMYwjKU17puMDPiGAF8ahnGDc/0vYIdhGFc5/34v8ALyPbUXKWaxH5l5C0dWz1TKp28wDGOA87odyCwlyICtMmtnIEceVAZ1AqfoCscFVRYZhnF2jV+vC6A8td9z3fUUr15dq38jTdMn7LxzafPOOypTpeqkponQUMFdV2TmoRoOh0Hf5+eSW9z8vyQ0krO7xPHZLS4HdpV0w+RDX3NSLMjynFOrLuZlFTPpmWU4fOQkXdMwCAGxbcNolxpN29RoEjtGYLX6jtR9XuYRdq78k52rlrN/03oq7PaTX6QxJTAsnJte/Q+h0S7ligDYj5aQ9dlGyg/XSrm1SRLYLZrY0T1UJq9UmQgh3kPOkZsFTHIOGje7rxWZPXuvspxSCHEpsr1uepX7xSF7tIcig6x4pIBD1Te7HXjHMIyHnNdEIoO6khP09tX0x4Ls4bUZhlGzdPU5FOMjyvbvZ+c550LD7DE1jUDC008Tff11KtN4pGCIponQUMGdQJ4kuUwIvfPLVScagq1pZlgELHlsOEkRQSrzq8CjXnbJlxiOPN2txpLvt7Nmnu/1wmgaDr8AK627RNI2NZrWXaKISgrBYmk+E0uK83I5kraHA1s2sGPFMjLSdp/8Io17WCxcM+4VWndVy5w7SivI/mYLJZuzveyYB7AJEu47Fb84lzn2m5C9nT6l9OYMDgVyxl1DRlcCOWczpaYh84MPyVBneTTNlA4//URA504q0w0oKo00jUdDBXcglWhG11z8clkaT02tjaquprnw4Lld+OfwzipTOrKHRqdq684s4IKqCyWF5Xz59B+UFulshaZu2PwtxLYJJa5dGHHtwolrF0Z0UjCWRs7uORwV5Bw6SEbabnnbI/8syNG9c95i5G1302vE+UqhFcNhkPvzbgp+P9AIntWd8JHtCB+pHN1zGbLPTFM3zgIWqQw7L7iQst36EMZXsMbE0GXJYjNzG6TYj6aJ0BCjECqZhyK4O7NTbAM+paYx+HblPrPgLgEZmExXGTW14hHk0Mxju+7AED8GXdqB377e1nheaZo19jIHh3flcXhXHpXfyVY/C9FJIYTHBhIWE0hYTBBh0YGEx8i/+wfW/+vCcDgoLSqipLCA0sICSgryyTqw71gwl7VvL/ZyM7V1jTeY9/H7ZOzZzYhb7kTUEFoRFkHkRR3wiw8mZ+oOqGj6JXe2uCDCzlbq9CxGfzfVF5eZxgDF69frwM7HOMF8u+3owK7J0dDBnQspsSG0iQpif47XlUE1DcS+7GKW7szkjI7KwH0M+gu0PmxA9oPcUnXxlKFt2L4inUM7vKbcrfFxKsodZOzNJ2Ovy5gsAAKCbXQ/I4kzr6x+kJOXcYTlU7/D5u+Hzc8fwzCOB2+FBZQUHP+5rKgYw3B449fR1IO1c2eRuS+NK596HpufqzBPyIBEbDGBZH25GUcTryCI+ltn1cByOzIwafrRadMlHrhSZcidppOhvkbIoEFmpoVedENTSxoyuEsH1gOn1DSc2SmWySt0z5AvMXnFPrPg7iKkatch73rkU/wbKZ1drWFk2D+6MfmFFVTY9WZZ0/CUFtlRlfHnZR5h3byfG8EjTUNyYMtGPvnnrdz4yn8IjnBRmCSgQyTxY/uQOXEj9oymeVgb3D+BgA6uviP7wVWS/pra8zBSTbMajuJicqfp81xfwweGl7coGrrBQpm9G6xLM32O2RsOk6dWQbUim201decActBtNaISQxhwUXvve6NpsQQEu+zlKCtumht7Tf0pzMnmf2NvIn3XDqXdFhtE/Ng+BHSO9LJnJ8cS4kfkhS46HyAFQF7wsju+hgW4T2XImzkLR746+69pntji4gjoaDrpYKEXXdHUkkYJ7s7oGIOiV1vTjCm1O5i25qCZeQxSVUtTd/6DHBRbjb7ntiO2bWgjuKNpiSiDuxId3PkyDrudLx+/n02//6rM3FqCbMSO7knI6cp5p41GxEUpWBSvV+Au5ExGTd15CEXWDiBn8mQvu6JpaE6QtduKrspqkjR0cPcbCqXEmNAAuieGN/BTa7zN5JV7zUxdgDO96IovUoEMkqu9nyxWC8Nv6I5oRrL2muZLQLBrJX+5Du5aBD+/9waLvhivDPCEVRB1aSciL+3Y8LuKWhDQKZKQUxNUpknAXC+744vcb2Zo/cbrRN9yM9bIppfN1dSNkNNONzMt9KIbGjdo6I/hAuAPlWFwZ12a6WtsOJDHpoOmAh9jvOmLj7IRRTlRXLsw+oxUqsFpNB7FP8jqsqbLMlsOq2ZO5YeXnqbCrp5uE3p6K2JH90QEur5OvIbNQuRlyllcOcADXvbGFzkd2UevxL9dOxIeeYROC38l6aUXCeypHByvaS4IQejZQ82sut+uieKNMzbdd9eCmLxyv5np74Cys13jFi8jFTSrMfDiFCLilYPkNRqPoRqHoIO7lkXaujVMuP9OigvUfVWBXaKIH9sHa0yglz2ThA9vi1+s8rPwYeCIl93xRV6vzZ0sgYFEXn45Kd9/T/vJ3xBx2aUIf1flVU3TJrBXL2xxcSpTBSb7e03j02jB3aCUaIL8GvF0T9MgTFtzgFJ7hcoUDNzhZXd8kTJkFrSaRKbNz8rwG7rrzkZNg+IX4PqZXV5a0gieaBqT3Ix0PrrrJjL3q0vx/eKDiR/bB/8U757n2eKDCTurjcr0OzDBq874JiFAL3cvCurdm1Yvv0ynRQuJe/BB/Fq3bgDXNA1B2PBhZqbFQJYXXdG4gTeCuxWAS61egJ9Vl2b6IEeLypmzMd3M/C+gcY5zfYs/gbdrLrbqHEmPwa0awR1NS8HmryrLLGoETzSNjb2sjIkPjmXb8qXKPjxriB9xY3oS3F/Z++Z5LBB1hXKmXTnyYFHPjKk//wDqrOBli4oi9rZb6Th3Dm0++C8hQ4ag1fWaNqHDhpuZ9LyLJow3gjs7MFtlGNE93gtPr/E2E5bsMTMlAjd5zxOf5t/ArpqLZ1zeidCogEZwR9MSsPm7fmXossyWzU9vvsSSb79UC63YLERf2YWIC1IavKogfGQyAclKobaXgc0N++wtAgHcqzIcKDhAcXntPweExULYsGG0+/gjOs7+meibR2NRzFLUNC5+bdsS2KWzmfknb/qicQ9v6VopXwTDu8brQxsfZPXeHJbvNs3WPwK4Nu5o3KUQuK3mon+QjaHXdm0EdzQtAZuilL68RJdltnSWT5nMtNdewFFhV9rDhrYh5oZUhCLz6wkCOkQQdrZSVGo78FKDPGnLYziQqjKMWzqOgV8N5OklT7Mvf58y0DfDPzmZhEcfpfOihSS9+AKBPZRPoWkEQoeZlmRuRr63NE0UbwV3s1GURMSHB9KzlT6t8UU+WLjTzNQBuNKLrvgyC4BPai627xVLz6G6p0HjeSw219M4PedOA7Bz1XI+e/BuSosKlfag1Bji7uqFNdKzlQWWYBvRV3dVjYOpAG4G9OmDZ1Bm7XYe3cmyQ8sAmLpjKhdOuZBLpl7C4v2LsTvUwb4KS2AgkVdcQcoPP9D+m28Iv+QSLcDSyISN0CWZzRVvBXdZwBKVYaQuzfRJFm7NYPOhPDPzY2jpD0/xMIohooOv7Excu7BGcEfjy1itirJMHdxpnOQcOsBHd93E0cPqucb+SaHE390H/7ae+2yKurIL1ghlwDgOk32Hxm26AherDF9t+cplbU/eHu6afxcDJg3gw7Ufkl2S7daTBfXpTetXX6HTwl+Je+AB/FrrXnJvY4mIILhfPzOzDu6aON4cNzpDtTiiu5earTVe5wTZu97ABV50xZc5CtxVc9HqZ+G823riH6QrYDWew2JVZO50z52mCmUlJYy/7zZ2r1mltFvD/Im7vRdBvZXy6m4RckYrglJjVKZFwP/V+wk0lTyF4kA2ryyPn3aat17ZHXbeX/M+QycPZcwvY9iYudGtkk1bdDSxt99Gx7lzafPf9wkZfKYWYPESoUOGIGzK/cMRYLmX3dG4SaMHdz1bR9AqQgso+iIz1x8iLUtdooPM3mk8wzTgg5qLEXFBDL+xWyO4o/FVFKVvlOvMnUbBlP97hj+nfq8WWvGzEHNtN8LPSa5zDYdfUgiRF6aoTNlIVUflTB6N23QGrlMZftz+I8X22r3//zz8J9fMvIYh3wxh6vaptb4OnAIsw4fT7pNP6Pjzz0SPvglLuFI8R+MhwoablmTOQL+3mjzeDO42A8pUzjk9Er3ohsZbVDgM/rfIRdCxkiHAmV50x9d5APir5mLHvvH0Gq6c+6TRuI3q0FyXZWrM+P3rz5j57ms4KtR7wfAR7Yi+thvCz72tiPCzyOtcxx4A3ALsd9tZjRlPoNgrllaUMnHjRLcfLLcsl6eXPs3ASQN5Zukz7M/f754AS/tkEh57TAqwPP88galagMXj+PkRctYQM6suyWwGeDO4M4CpKsO5qbo001f5YfV+juSZ9rPr7J3nKAGuAlwaHc+4ohMJKfqUU9Mw6LJMzYnYuvQ3vnz8fspMVFWDe8URd3svLGG1F8+IvKQjfvHBKtN7yEoGjWfoANygMkzZPoWM4ox6PfiU7VO4YMoFXDbtMvcFWIKCiLzqSlKm/EDyN18TfvHFCD+/evmjkYQMGIA1VDnOsASY52V3NHXAm8EdmAR3g1KiiQjSb0pfpNTuYPzi3WbmUcApXnTH19mJPLWuhtVq4bxbexIQrPvvNHUnMNSGqJG6Ky8rxXDo2dCaE5ORtpuPxt5MXuYRpd2/bRgJ9/TBr1XISR8rqFcsIQOU1T7rkQJTGs/xOOAyv6K8opzx68d77El25e46JsDyv3X/I6ckx63rg/v0ofVrr0oBln/dj62VFmCpD6HmKpnzkGOYNE0cbwd3fwAuRz02q4VhXbVqpq8yafle8orLzcyPetOXFsAPwDs1F8NiAhkxOlVrlGrqTEi4qyKhnnGnqS2lhfl8fM8Y9m1cr7RbIwKIu7M3gT2UAinyPlEBRF2uHKpcDFyDHnvgSZKB0SrDjzt+JL0o3eNPaHfYee+v9zhr8lncPvd2NmVtck+AJSaG2DvuoNPcObR5/z1CzjxDC7DUgTDz+Xa6JLOZ4O3grgKTgebn9tClmb5KQamdz/9IMzNfAyi74jV15hHgz5qLKb1i6TuyXSO4o/EFghRlc7okU+MWhsG3zz3O6p+nKzftFn8rsTekqgeS2yzEXNcdS6CyAuE+YJOn3W3hPAa4/GOXOzybtTPjj4N/cPWMqxk6eSjTdkyjxF77uF1YrYSNGEG78ePp8PMsom/SAiy1JaBbN/zMM5/m0qiaJoW3gzswKc08u2scQX4u2X+NjzBhyW5KypVN9VbgIS+74+uUAVcjxyRU47TLOpDUMcL7HmmaPYFhrqXzWkxFUxd+/ewjfvnwHRwmJb0R57cn6u9doMrojegrO5vNx/sO+KRBHG25tAXGqAzTdkzjYOFBrzmSU5rDU0ueYsCkAYxbOo4D+QfcyuYFtG9PwuNSgCXxuecI6KYVpE/ECVQylwOHveiKph40RnA3DyiquRjsb2OEHmjus2QVljF5xT4z8y2ATt16lj3ATTUXLVYL597ag8BQ3eOqcY/AUNfMnR6DoKkrGxfO4+unH6a8rFRpDzk1gbjbTsES4kfY0DYE91HuD9KA25GCbRrP8Sjg8iVhd9i9krUz44ftP3D+lPO5bNplLD2wlApH7RX5LUFBRP39KjpM/ZHkryYRPmqUFmBREDpcl2T6Ao0R3BVjMvPukt66CdaX+fj3XdgrlCe1gcD9XnanJTAdeL3mYmhUIOff3hOLTfciaGpPUIhrOZwuy9TUh8M7tvLJ3WMoyMlW2gPaR5BwX1/Cz2uvMpdiUqGgqRetgdtUhhm7ZrC/oPGnTOzK3cUd8+5g4KSBfLLuE46WuPcSCD71VFq//hqdfl1A3P33YUtKaiBPmxe2hASCevY0M+vgrhnRGMEdwDeqxaFd4whX19NrfID9OcVMX2tazjEW0PWCnucJYGnNxdZdohhxY3ctsKKpNSq1VV2WqakvRXlH+XjsLRzasVVpt4YHICzKD6rbkKViGs/yMOCSpq9wVPDxuo8bwR1zyhxlvPPXOwyZPIQ7597J5qzN7gmwxMYSe+eddJo3lzbv/YeQM1q2AEv4RReamXYDG73oiqaeNFZw9zOKeVwBNivn6YHmPs2Hi5Rz7AHC0dm7hqAcKVqTVdPQZWAip13awfseaZol/sGuJUy6LFPjCRwOO189+SDrF8yp7eb8NeCLBnarJZII3KEyzNo9i735e73sTu1ZcnAJf5/xd4ZOHspPO35yX4Bl5EjafTqeDrNmEnXDDVjClP2dPk3EJZeYmaahS5+bFY0V3JUAP6oMF+vSTJ9mW3oBczeZSig/AugXgOfZhyxfcpkQ2+/89vQYov/JNSfHP8hV8EqXZWo8yZz/vcuCCR+ebHbiZuT8NY3neQjZJlENh+Foclk7M3JKc3hiyRMMmDSA5/54joMFB90TYElJIfHJJ6QAy7PjCOjatQG9bToEdOlCoLnYzCRv+qKpP40V3IFJaeYZHWOICXFt3Nf4Dh8s3GFmCgae96IrLYn5mPRRnHVtV5JPMZ8tpdEA+CtK5nVwp/E0a36ZyZ61q83M5cAo5FgljWeJB+5SGWbvmc3uvN1edqf+fLftO8774Twun3Y5fxz8wz0BluBgoq6+mg7TppI86UtZsujDAizhF19sZtoKrPKiKxoP0JjB3XwUpWI2q4ULTtHNrb7M6r1Hmb/ZNHt3M9DHi+60JD4Dnqm5aLEIzru1J3HtWl4Ziqb2+Ae4Zu7KS/XMaI1nOf3K60jp219lMoCLgV3e9ajF8AjygLUaDsPBR+s+agR3PMeO3B3cPvd2Bk4ayPj14zla6qYAS79+tH7jDTr/uoC4++7Dluhj7UNCEHHxKDPrl+iSzGZHYwZ35cj5NC5c3FsHd77OS7O2mClnCuANtNRHQ/E8MKHmol+AlVH39CYsxqUiR6MBwOavyzI1DUvqWcM546rrzMyPAr940Z2WRCfgXpVhbtpcdh417ZVvVpQ5ynh79dsM+WYId829iy1ZW9wXYLnrTjrNn0frd98l+PTTG9Bb7xE8cAB+5gGrLslshjRmcAcmpZmDUmJIDNebTF9mZ0YBX/1p2pw9HLjIi+60JAxkw/ycmobgcH8u/mdvpSqiRqMO7lxGlmo0daLTgNM57877zMxPIUVUNA3D6yjm2gHNPmtnxuKDi7lqxlWc/e3ZzNg5g1K7et6iCmG1En7uOSRP+NQpwPIPLKGhDehtw3ICIZXFSKVMTTOjsYO73wGlNv4onb3zed6et528knIzs+mXjabelANXAWtrGqISQ7jwrl5YbY390aBpatj8XV8T5SW6LFNTf5JP6cNF9z2Cxep6gAC86LxpGoYRwKUqw+zds9mWs83L7niX7JJsHl/8OP0n9eeFZS+4L8DSoQOJTz4pBVjGPUNAl84N6K3nEQEBhJ13npn5S2/6ovEcjb2DcwCTVYaLe2kFP18nu7CM9xeYiqt0xUSSWeMR8pDZUZeJtK06RzJitJ6Bp6mOKuDXc+409aVV1+5c+tBT2NRiFZOBf3vZpZaEDXhbZSixl/Dmqje97E7jMnnrZM774TyumH4Fyw4uc0+AJSSEqGuuocP06SR/+QXhFzYPAZbQYcOwqrOOpq1TmqZPYwd3YFKa2bttJO1jXHp7NT7GZ0v3sC/btLRrHBDpPW9aHAeAC1DMnOzcP4EzL+/kfY80TRar1TXa1z13mvoQ374Dlz82Dr9AZRvGHOAm5CGwpmG4FeipMkzcOJFDhYe87E7TYPvR7dw29zYGThrIp+s/Jbc0163rg/v3p/Wbb9B5wXzi7r0XW0JCA3lafyIuMVXJnAlke9EVjQdpCsHdCkzUry7po7N3vk6p3cHLP28xM8cAT3rRnZbIBuBvyFO6avQ5px2n/62j9z3SNEksVlVZpg7uNHUjunUbrnjyeQKCQ1TmJcDlQO0boTTuEonJ6KEjRUcYv2G8l91pepQ5ynhr9VsM/mYwY+eNZWv2VvcEWOLiiB17l1OA5R2CBw1qQG/dxxoZSeiQIWbmL7zpi8azNIXgzsAke3dVv7YIXRrm88xcf4hVaTlm5nuBDl50pyWyALhFZTj1vGTOuEJn8DQgLIrMnQ7uPIphGOQVl3C0qPjYLaugiINH89h2OIMlO/YwZ+M2CkvLGtvVehEeF8+VT75AcHiEyrwaWTJe6F2vWhxPA7Eqw9ur3qbYrt/bVfn9wO9c+dOVnP3t2czcNZPSCjcEWGw2ws89l+SJn9Fhxk9EXX8dlhDloYZXCb/wQoS6dPQoMMvL7mg8iHDnFKIB6YHMILhw3cfLWLrTZRyexsfo2zaSH+8+08z8HfB3L7rTUnkSeEFlWDt/H4u/2+5ldzRNibEfDEPUOG17f8y1lBTkN5JHTY+FW3aSGBFGt6R4t6+dt2k7C7fuoqTcfsL79Wnbin+c3reuLjY6IVHRXDPuFSITlaJpW4CzgAzvetXi6AJsRPbcVWN95nqun3k9hh5tdlKu7XYtN/e4mcSQRJfPxpPhKCwkd/pP5Hz1FaXbG+e7Nfmbrwnuoxwr/DFwu5fd0XgQ67hx4xrbB5Af5BcBrWsabFbB7A2Hve+RxqscziuhQ2wIXRPDVeYewDxgn3e9anEsBkKBM2oaEjtEEBhiY+9GXYLfUhkwKsVlA7P02y8xHE23JSqvuIQXZsxn1vqtzNm4nXN7dDnpNRUOB+8vWMqgDu3ceq7dGdl89ecaBIJT2lSfGbU/J5fvVq5n2ppNLNy6i10Z2SRGhBEWGADAHzvTmLF2M2d2bs9ZXVII8rNx4GgeQzqnMDK1E6cmtyYsMIDMgiJuHTIAf5tSVbLJExQWzlVPv0h06zYq825gGKC/8Buez4BuKsODCx/kcJH+L6gNGzI38MXmL5i/dz7tw9uTFJKERdSuIE74+xN0Sk+irruW4EGDcJSUUJaWBl76PPVr146Ehx82Mz8ApHnFEU2D0BTKMitRFnif3yOR8CA9d6sl8OovWyktN1WnepOm9Xr1RQzgYeAVlbHXsLacdW0XraLZAvEPtLkEdhX2cirsJ84yNTZHi0o4r2dXuiXG1fqauRu3k5Z11K3nKbXb+WbFWsICA7isb49qtq2HM3h33hKOFhUzuFN7hnRuT25xCe/MW8LODFmVsuVQBt2S4rm4d3d6t03iqgG9SIwIw2E4SG2VQHJMFGv2HuRvfXsQEuDvlm9NhdDoGK5+9hVi2yarzIeAkUiRJ03Dci4wSmWYtWsWazNcJuRoTsK2nG3cOudWTpt0Gp9t+MxtAZaQAQNo89abdJ4/n9h/3oMt3v3Mv7tEXKx8CYAM6hY3uAOaBqUpbZa/AVyKvAP8rFza2yWhp/FB9ucU8+kS03mZA4GrvehOS8UAHgdeUhlPGdqGs6/tqgO8FkZwhGtA0RyUMtvFRDK4c3vaRtdOdHdXRjYLtux0+3lmrt1CVkERV/XvRZB/9R6WORu3ER8eyn0jB3NOj86MTO3MvSPOJC4shHkbZTlWbGgwaVk57M7Ipryigo0H0sksKCQxIgyAH1dvoF1MJH3aNU+RsYiERK559hViWrdVmbOAczARVtN4FBvyoNSFYntxixt94GlKHCW8seoNBn8zmHvm38O2nG3uCbDExxF39910WjCf1m+/RfCggQ3ma8TFpoPLJ6EVaps9TSm4y8VkpsbVA5RfCBof5L+/7iSzwLRR+WUgyIvutFQM4CngOZWxx1mtGfaPbjrAa0EEhbk23fvaAPPisnK+Wr4Gh5t96NvTM/ljZxoD2rehu6LXzl7hINjfD1sVtVGb1UKIvx+5JfKzbmRqZ6JDgnn/1z94/IfZTFiykm6JcQxKaceGA4fZcjiDy09VKtY3eaJbt+Waca8QEZ+oMucD5yP7vzQNzx3INgcXPtvwGelF6V52x3dZtH8RV0y/guHfDmfW7lnuC7Ccfz7JEyfS4aefiLrOswIsgb17499emUEHGdxpmjlNKbgDk9LMnq0j6NFK2Yul8THyS+28PXebmbkdcL8X3WnJGMAzzpsLqWe2YviN3bWabQtBFdz5mlLm96vWk1dcQlc3SjhLysuZvGId4UGBjEztTIWiX2ZIlxR2ZWTz3cp1HMjJ5eDRPKas3sDOjOxj5aJB/n7cO/JM7hg6A+ETDQAAIABJREFUiL8P6MU9w89g9Jn9KS4v54dVG7i0TyrhQcpZcE2a+JSOXDPuZUKjY1TmXGRgt9K7XrVYojA5sEsvTGfCxgledqdlkFmSyaO/PUr/L/vz8vKXOVx42K1sXkDnTiT++2n+n737Do+i6h44/p3d9EoghZAAIfTeOyhSBBFEsQEqIqKioq/YK/haX7so6s/esHcFO4oIUkSK9C4tQCCk983O748bJLAzmwSSyZbzeZ59gnvvbk4kJHPm3ntOi4W/0XDGDIJanHr1aje97VYCG075E4g652mH2X4HtgEu370X9WjMzK/l5p4/+ODPPVzeL4WWCZFGw/cAHwD/WBqU/3oAKMOgimbbvonYNI35b2/AM4ruitoSGumd2zKravnOPazZs5/h7Vvh1HU2H6hasca5azaRVVCIBjz67a8E2u30b9GUkR3bYCtvHdEjJZm0rBwWbtnJsh3HakJ1Sk5kZMfW//63TdNomXB8ZfrPV64jKSaKHimqAImjrIwAu3cUU0lq057z7phh1sfuMOrs1ypro/JrM4H6RgPP/PWMtD6wwHub3uO9Te/RJqYNt/W8je4J3bHbqvbv2R4eTsyE8cRMGE/+8uVkvv8BuT//DNU896yFhBA92jS5k952PsLTVu504A2jgXO7JhEc4GnhitpQ5tR5eN5Gs+FwVJleWTOyzsPAnUYDrfs0ZNjk9tgC5K/DlwWHG23L9I2LwcO5+Xy1aj3NYmMY0rbqd8X3ZWazbMduwoODGNmpDRN6d6FNYhwLNu/gy9XHbkT+umk7v2/ZScv4BlzYoyMX9exEm8Q49mfncCAnz/T91+zZz+YDh7ige0c2HzjE/779lTs/+57/fftrlZPPutK0czfOv/u/ZondPmAgkthZqQtwvdHAmkNr+HantDSz0qbMTVz545X0ea8Pb69/m5ySnGq9PrxXL5KffYYWv8wndtr1BMRXfbdB1MiR2KMMd8I5Mek5LbyPJ2ZLb2NwmDM6NJDh7Q337AsftGDLIRZuMb2AGQpcaWE4QlXQvNVooGXPBMb8pyvB4Z62EUDUlJAw179bX9iWWeZ08t6yVWiaxvjeXf5dbauKxdt2EWC3MW1wP85o05xuTZO4vF93ejdrzJLtu8jML+RgTi7f/r2J3qlNuGZQH3qnNqFXs8ZMGdiL1g3jePm3ZYYNyXOLivl85TpGdWpLiaOMNxetoHH9ekzq353kmHq8uWgF6W4Sw7rUoldfzrv9PgKDDbeR7kAldpusjcqvBQJvYrJT67Hlj0lPuzpS5CziyRVP0v+D/tz4y41szdxarS2bgfHxxE2bRov580l65mnCevas9DUx40zr0n2DtCHxGZ6Y3KUBhreRLuohhVX8yQNzN1DsMG2N8BRg2CxJ1JqngOlGA41a1uOCO3oQHS/1bnxRcJjRmTvvL6jyw7ot7DmSzbB2LbFpGlkFhRSXb3PKKiikoKTU9LW7MjJpHt+AuMjjV6d6N2+CrsPuI1lsOXAYHRjaznVFcHCb5hSWlPL33v0uY5//tY5G0ZH0ad6Elbv2ERkSzPjeXeiQ1JAJvbsQERLMyt2e1zWg45DhjL7pTuwBrt8vqLM8A1H97IR17kSt3Ln4Zvs3rD281uJwhJFf9/zK2K/HMuSTIXy/83tKylxv+pjRAgOJOussmr77Ds2+/pqY8eOxhYe5zAtp347QTp3M3ub/Ti5y4Yk8MbkDk8IqA1rGkhwjF4/+Ylt6HrN+3mo2HAW8gmzPtNqzwA1GA/Xiw7jgjh40alW1svPCewSFuN70Ly0sqINIas629Ax+3azaHnyzZiMPzf2Fh+b+wsItKvd4aO4vfL36WG2BnMKi4wqm2DSNMqfrXfayMjXHbtP+rbxpM6g8dHSsuPT4MzMrd+1j88FDXNhTXYSVlJURGGD/9z1sNo2gADul5je+LKdpNgZNnMKZV9+AzfhM4F/A6aibt8I6HYH7jAZyS3J5duWzFocjKnOo8BC3LbyN7nO687/l1S/AEtKqJQ1nzqDFb7+RcN+9BDVv/u9YvYvHmb3sH+DHU4lbeBZPTe7mAelGA9IWwb+8snAH6/aZNgQ9C5hoYThCmQ1MBlxOcoeEB3LOjV1o0zfR+qhErQkKdb1g9/aCKkEBdq7o34PJA45/dC3vJTd5QA9Oa9UMUOffHvhmPm8uPlbYsUV8A7anZ7C7QsNzp67z6+btBNptNIutT8uEWDTUubuKdF3n+3WqKnBq/LFKkjmFRXy5aj0jO7ahfvmd9zaJ8aTn5PHj+i2k5+Txwzr1sY1B24W6EBQaypjb7qX72eeaTVkEDEEVURHWCUBtxzRcRn3izydILzC8zBIe4r2N7zHs02GMmzuOFQdWUKZX/YaOPSKC+pdcQvN5c2ny9ltEjRpF9Kizzaa/jPS28ymeekimFHgHgzM+43s14fn52ygpk+9Df+Bw6tz26Rq+njaAQLvhvYhnUXecXPc2idr0Jupu3+fAcUt19gAbQy5vS734UJZ+vQM5zuH9AkMMkrti796W2cSksfmeI+pmUrtGCf8+FxYUSEhgADFhx3aODG7bgrX7DvDSgiX0bNaYqJBg1qels+dIFud2bU94cBDhwUEMbNWMhVt2siczm1YJcei6zsb96ezNzKZv8ybHxfHZX+tIiIqkf4tjPahaJcRyZvtW/LxhKz+u34pN0xjRoZVLZc26EBUXz7m3zyCuSYrZlB+B8wDvXub1TrcA3Y0GFu9bzBfbvrA4HHGyNhzZwBU/XEGIPYQbu93IuS3OJTLIsJq4ofDevQnv3dtsuBSTQobCe9nvv//+uo7BzB5g2olPhgUFsDMjn437c+sgJFEXDueVYLdp9Ek17JUUgmqd8ZG1UQlUcvclagXVpcR2o5b1qJ8Yzj9rD6MbbF8T3qPTGcmERQUf99y2Fcs4sG1zHUVUPdvTM9hx6Ahntm91UnMbRIQxuG2L4xK+4IAAOic3IruomHX7DrD1YAYRwUGc1609PZsd22HSumEcMWGh7MrIYu2+A+zKyCQyJJjh7VsxrMLnWPHPXhZt3cmU03oRHnx864nm8Q3ondqYto0SOKtja9pWiKOuJLZsw4X3PkS9BNNV+jeASwDvvgvgndqgfie63MDPL81n6s9TySv1zII8wpxDd7A4bTGvr3udLUe20CKmBTHBMWin1nD2E9RiivAhWnX28taBn1HbOY7z994szpm9uA7CEXUl0K7x9bQBtE00bWY/AdX/TlgvFvgCGGA0eHBnNvNe/JvCXPPiFMKzXfJAH+rFH39A/4eXZrFuwU91FJGoS20GDGL4NTcSEOTa/xC1Vn87qgCTR19g+Cg7aitsH6PBB5Y8wCdbPrE2IlFrEsISuK3nbZzR+AyC7Ib/HiszHbUDSvgQTz1zd9TzRk92Sq5HtyZStMGflJap7ZkO8+24zwN1fzvbPx1GtaeYYzSY0CyaC+7sQf1Ghj2vhBcICHT9VeELrRBENWka/S68hLNvuNUsscsHzgWeRBK7uvIfTBK75fuX8+mWTy0OR9SmgwUHufW3W+k+pztP/PkEB/MPVqcASwnwXC2GJ+qIpyd3c1Fbv1xc3i/F0kBE3Vu3L4eXF+4wG26Ayc0AYYliVHGbGUaDUQ1COf+27jTtYLi1Vng4uyR3fi8oNJRRN91B3wvGm03Zi1q9/9q6qMQJWgIPGw0UlBYw84+Z0tPOh72z4R2GfjqU8fPGs+LACpx6pbUp5iKFVHySpyd3ZcALRgMjOyYSHxlsNCR82HPzt7L1oOl5ywuB8y0MRxxPBx5EbZEtPnEwKDSAUdM603tMKlo1mkWLumcPcP1VUerl1TJF1cWnpHLpo7No3cdw5zXAn0AvYLV1UYkT2IDXUOfQXcxaOYu9eXutjUjUifUZ67nihyvo/X5v/j70t7upN1sVk7CWpyd3oHreuVTaCrTbuKR3kzoIR9SlYoeT2z7927C/VLkXUWfARN35ABiMSenzHmelMOamLoRFn9T5AFEHbHbXZFxW7vxD52FnMf6hp4hJbGQ25WNUDzupWFy3rgNOMxpYeXAlH2ySI+n+xuF0kBhuWvBoM7DLwnCEhbwhucvE5CzPhN5NCDIujy982Oo9Wbz2u+n2zHhgloXhCGN/AL2BjUaDSa1iuPieXjRu61JkU3ggm8FKqyR3vi0oNIxRN93B0CnXExBo2CoN4AFgPCDfDHWrGfA/o4EiRxEz/pgh2zH90LCmw4gLizMbvsfKWIS1vCUzMjxLFRcZwsiO0izZHz390xZ2HDIt5TwBOMfCcISxHUA/4AejwbCoIEbf0Jleo5vJNk0PZ/T34+1NzIW5+GbNuex/s2jdd6DZlDxgHDATObNT1zTUdkzDilWzV89mV44s0PijS9peYja0APjMukiE1bwluVsH/Go0MKlfU6OnhY8rdji5/dO/cZpvz/w/IMbCkISxLGAkcC8GF4GaTaPn2c049+auRDYwPCoiPFRpkbQv80Vdho9i/INPUq+h6Y3TNajm2NJb1DNch9oG72LNoTW8u+Fdi8MRnqBrfFc6x3U2G55tZSzCet6S3IHJ6l2XJjF0aSxtEfzRil2ZvL3kH7PhRNT5O1kSqntOVAW3IcABowmNWtTj4nt70bKHdLPwNAGBNpcmuU5nGY4Sl5o5wosFhYYxevpdDJk81d02zP9DldnfYl1kwo0uwNNGAyVlJcxYPKMqFROFD5rUfpLZ0F7gK+siEXXBm5K7bzA5/CltEfzX499vZneGS72do8YB11oYjnBvAepi5GejweDQAM6c0p6hk9oRGGK3NDBhzqjwjWzJ9C1NOnZm4uPP06pPf7MpuRz7eSpLtp4hArV6aliZ6qU1L7Ej2/RsuvBhKVEpDGo8yGz4WcBhXTSiLnhTcudArcS4OLtjIg2jZEuXPyosLeOOz9yW+n0WVaJbeIaDwAhUPzzDW8qt+zTk4nt6kdAsytLAhLHQSNdrR9mS6RuCQkMZdtU0Lrz3YaLjTVfNVwHdkG2YnuYFoJXRwPrD63lr3VvWRiM8xsR2E7Fphpf3OcCrFocj6oA3JXegDg273DIOCrAxZWCzOghHeIIlOzJ4d4npgfFA4BNUk3PhGcpQ/fDOAPYYTYiOC2Xsrd3od34LAoNlFa8uGSV3UinT+zXt3I3Ln3yBTkNHuJv2Iqoo0jZrohJVNLH84SK/NJ/bF96OQ5fFGX9UP6Q+57QwrSf3MirBEz7O25K7I5i0RRjfqwn1wkzPCQgf99C8DWxIyzYbbgK8i/d9v/u6hUBnVJ8sFza7ja7DmjB+Rm+adpTcvK6ERrr+XJVtmd4rOCyc4VP/wwV3P0BUbLzZtBzgIuB6ZBump2mNyS4mgIeWPsTu3N0WhiM8ybjW4wi2BxsNOYDnLA5H1BFvvNh9ClwbtoQHBzCxr1TO9FfFDifXvreSnKJSsylnAXdbGJKomkzUWZ5JqPLqLiIbhDDq+s4Mv7oD4fWk8bnVQsJdk7tSWbnzSs269uDyp16kwxnD3E1bAHRF7XgQniUEtT3WsO3Bl9u+ZO6OudZGJDxGiD2EcW3GmQ1/gCqmIvyANyZ3mzHpzzGpXzNCA2ULl7/alVHAbZ+scTflAWCoReGIqtOBt1EXlMvNJrXoFs+EmX3oOCgJTWqgWiY4LMDlOVm58y7B4eGMuG46Y++8n8j6pqvgeaiy+kNQPSqF53kGtdvBxc7snTyy7BGLwxGeZEyLMcSEmHaAetLKWETd8sbkDuB/Rk/WDw9iXK/GVsciPMgP6w/yykLT6xINeB9Isi4iUQ3bgAGoFVbDrWBBoQGcNq4159/endjkCEuD81chBtvd5cydl9A02g48g0lPvUT704e4mzkf6Ai8hDQl91SXAlONBorLirn1t1spdMi/S39l02xMbGd4DBPgR8Bt5TnhW7w1ufsL+Mlo4KqBqQTa5ba+P3v8+00s33nEbDgOdcZLDmh6plLgUaADJv/GARKaRXPhXT3oN7Y5AUHe+mPMOwSFuq7cSbVMz5fQvCXjH3iCkdNuISKmvtm0XOAaYBjwj1WxiWrrgCqGYejxPx9nS6a0HvRngxsPpklUE7PhJ6yMRdQ9b74qMly9a1QvlDFdZGHGnzmcOtPeX8mhXNMmy/2AxywMSVTfdmA4MAFIN5pgs9voemZTJszsQ9MOUnCltgSFum51Lyk07S0p6lhYdD2GT/0Plz7yDI1atXE39QdU0vAKBufYhceIBD4FwowGf/znRz7ebFiTSviRyR0nmw2tQa3MCz/izcndr5icz5l6enM5k+Pn0nOLufHDVZQ5Ta9ZpgPnWxiSqD4ddQi8DW5680Q2CGHUNFVwJSpW+l3WtMAQgzN3si3T49jsAfQYdR6Tn32lsoIp2cCVqCJTUlbRs2nA66gKmS525exi5h8zrY1IeJx+jfrRMbaj2fCTyM0bv+PNyZ2Oyepdi/gIzmxn2pBV+Ikl2zN46sfN7qa8CbS0KBxx8jKBq4GBwAazSS26xTPhv304bVwrwqKkqmZNCQxyXbmTbZmepVmXHlz+5GxOv+xKgsMMF3iO+hy1WvcGcsHnDW4ELjQaKHQUcvOCm8krNSwyLPzItZ2vNRvai6quKvyMNyd3AF8Bm4wGrh3UwuJQhCd66bft/LLJcFcfqO0un2Gy3UV4nEWoipr3AIZ7bu12Gx0HJXPpQ33pMybVsNKjqJ6AYNdfE1It0zPEJCZx3h0zGXvX/dRvlOxu6npUpeDzkXLo3qIfbiocPrT0ITlnJ+iT2Icu8V3Mhh9DnWMXfsbbkzsnJmenujSuR9/mcg7H3+k6TP9oNXszTc8IdUQ1hJWNvN6hBHiESgquBAbZ6X5WCpc+2Jduw5sSEOjtP+rqToBBexnZllm3ohMaMvzam5j09IukduvpbmomcAPQBTl3401SgC8Aw7tTn275lK+3f21pQMIzTe1sWEAVYD/wmoWhCA/iC1c87wN7jAauG9Tc4lCEJ8ouLOXaOSspdpSZTbkcdQZFeI9tqIIrl2BScAVUA+6+5zXn0of60v60JGxSSbfajBJjaWJeN6Li4jnzmhuY/MzLdBg0FJvNtK+rE9XWoBUwG3BYFaM4ZfWAeUC80eCGjA08uuxRayMSHqlHQg+6J3Q3G34ck5ZCwvf5QnJXAjxlNDCwZRw9mpo2dBR+ZO2+bB78xvS4FqgLoB4WhSNqho66udMCmIkq624oPDqYQRNaM+H+PrTqlSDrtNVgC5BtmXUtskEcQ6+6nsnPvkLHwcOx2U2TOoDfgG6ohuSHLQlQ1JRA4BOgndFgTnEONy+4mRJnibVRCY/kZtUuHVUFV/gpX0juQC09ZxgN3DrcsMiU8ENzlu3my1X7zIaDgblAM+siEjUkF3gASEXd6DHtgREdF8qwye25+J5eNO0o27arwm6w2inbMq0RUb8BQyZP5crnXqHz0LOwB7g9Q7obuAg4A1X+XHgXDXgBdTbShVN3cteiu9iXZ/o7TPiRbvHd6J3Y22z4CUD61fgxX0nu8oFnjQb6pDagn5y9E+Xu/mItWw6aLvAkAN8B8g3jnQ4Dt6IqoL4GmO7DjU2OYNT1nbnwrh606pUg2zXd0Gyu/29kW2btCo+pzxmXX82Vs16ly/BR2AMC3U3PAO4A2qJWfaQKpne6FbjKbPCpFU+xcO9CC8MRnszNqt1h4P8sDEV4IF9J7gCew2z17kxZvRNKQUkZ185ZSX6x6RGU1sA3QKh1UYkatgd1kdQedbFrKr5pFMMmt+eyh/vRfURTgsOluuaJbAbJnWzLrB2xTVIYfu1NXDX7dbqNPIeAILctPTKBu1G7DR5H7tR7s7GYFIcD+HDTh7yz4R0LwxGerHNcZ/o26ms2/BQg/TH8nC8ldzmY/HDs1jSGM1obnk0Wfmj7oTxu+9TtrqW+qLNcbg+2CI+3GbVNrQfwg7uJEfWC6XNucyY92p9BE1oTkyjdMf5lsKgpyV3Natq5G+ff/QCXPzGbDoOGVrZSlw3MQFVUfBQ3Z02FV+gJzMHkJPCivYv433LDlr7CT03tZLpqdwS1tVf4OU3XfWoHRxiwA7W97jjr9mUzevYifOvLFadiysBm3Hu24bn1o15AlRGX7xrfMAh1MdynKpN3rc/g7/l72L3hSK0G5clsNrj2xcEuzz81bjTyw/TUBAQH027gYLqOGEVs46ZVeUku8Ez5I6tWgxNWaQosw+CaBWDLkS1M/H4i+aX51kYlPFbnuM7MGTnHbPg+4CELwxEeytf2IBUAD6O2aB6nQ1I0w9s35Pt1B6yPSnik137fSaPoUCYPMK2hcj1qi5/pdhnhVRagGgOPRq18mNaQBmjavgFN2zfgyP58/v5lD5uXHsBR6rQgTM8RGuW6LbCksEASu1MQndCQLmeOosMZQwkJj6jKS/KBWajtVv57p8H3RKNaHhgmdocKDnH9L9dLYieOM737dLOhbOB5C0MRHszXkjtQ5V9vAxqfOHDzsFb8uP4ATrkuEeUenLeB+KhgRnVqZDblf8Be4D3rohK1SAe+Rp2r7A/cBJyHmy3q9RPDGXRJG/qMac76RftY/3sauRn+0T4ozCi5K/KPr70m2QMDad69F+1PH0qzLt3RbFU6EXEE1avuWaSlga8JBD5GnQt2UegoZNov0ziQLzejxTEDkga462s3C5XgCeGTyV0x8CAGPT5aJUQyunMjvlqdZn1UwiPpOtzy8RriIoLpnWpaJPNN4AAw37rIRC3TgUXljxTU9tspQJTZC0IiAuk+IoXuI1JI25bFluUH2f5XOkX5pZYEXBdCI41W7uS8XVUltmxD+9OH0LrvQEIiqrRKB7AVtfXybaRIii/SUCssZxoNOnUnd/5+Jxsy3PZlFX5GQ+M/3f5jNnwEeNrCcISH87Uzd0cFAptQfa+Os/NwPsOe/g2HLN+JCqJCA/h0aj9aJUSaTckFBiL9o3xZJDAJ+A/QvCovKCtzsmf9EbYsP8jOvw/hKPGtbZut+zRk6KTjz6Ue3LGNOXfdVEcReb7I2DjanTaYdgMHU79RUnVeuhB1gfYN4FvfSKKiW4AnzQaf+PMJqYwpXJzV7CweP+1xs+HbcPM9JfyPL67cAZQC/0Xd+TxOs9hwxnZL5uMVe6yPSnisnEIHk95YzufX9adhdIjRlEhUD7y+wC5LgxNWyUXdUX8ROBu1ZfMMdy+w222kdIolpVMspUUOdqw+zJblB9izKRPdB24ghRi0hpAG5q4CQ0Jp1bsf7U4fQpP2narz0kLUlu/ZyI0jfzAW1WDa0MebP5bETrgIsAVwQ9cbzIb3IhUyxQl8NbkD9QvzLqDNiQM3DmnBl6v2UVImN0fFMWnZRVzx1nI+vqYvkSGGpcgTUQneAKSwgS8rQ53L+xroglrJmwC4bToWGBJA6z4Nad2nIQU5JWz76yBblh/k4M6c2o+4lgSHy7ZMMyHhETTr2oPmPXqT2rUngSGGN4XM7EJdkL2O/CzxFyOADzBpebB432IeXfaotREJr3B+y/NpHOlSRuKo+1E3iYT4l69uyzzqIuAjo4EHvlnPG4v/sTYa4RX6NW/AW1f0IijAtOjB76jzElJZwn8kAFcClwJtq/PC7PQCtq1MZ/f6IxzYkY2zzHt+5p42rhUdByUf99ymxb8x7znTxQefVi8hkeY9etO8e2+S2rTDZq9WK8wC4DPUjpIFqJsIwj8MAeYChncAtmZuZeJ3E8krld7T4nihAaF8O/ZbYkNjjYY3Ax0Ah7VRCU/n68mdDVgFuOyTySoo4fQnFpBd6LvFEMTJO6dzI54b39XdlE+Bi5GzMf5GAzoDlwDjgWodqiopcrBvcyZ7Nh5h94YjZKd79g3XoVe0o3Xvhsc99/f8H/jpFf+ouK1pNhJbtqJ5994079GbBslNqvsWOvAr8A4qsZOrd/8zEPge1YfXxeHCw0yYN4H9+futjUp4hSkdp7grpHIB6ueKEMfx5W2ZoC687wO+OnGgXlgQNw5pwYNzN1oflfB4X69JIzE6hLtGmi7SXIAqfjAdaXLuT3RgdfnjTtSF2yWo74d6lb04KCSAZp3jaNY5DoCcw4Xs2XCE3RuPsHdTJiWFnnUDNijUdWXK17dlRjaII7ldB5p06ERq156ERVf612pkC2qFbg6wu0YDFN6kD/AtJoldQWkB0+ZPk8ROGIoOjmZyh8lmw38Cn1sYjvAivp7cgao8tgh1Tuo4l/VJ4d0lu/gnQ6pNC1cvL9xBYr1QJvVLMZvyH1RfmfuRBM8flaG21y0ApgEjUWfzRgPBVXmDqNhQ2p+WRPvTknA6dQ7uzGHPxiPs2ZDBwX9y67woS1CI66+I0iLf+nlZr2Ejktu2J7ldR5LbtCc63rCndFVkAh+iVumWIT8T/F131IqdYQ+MIkcRN/xyA+sz1lsblfAaV3a4ksgg0wredyI/Y4QJf0judFTp4WUnDgQF2LjzrLZMnfOX9VEJr/DAN+tpGBXCiA4NzabMQLXeuAf5QevPioEvyh/RqKp4E4DBuGmQXpHNppHYPJrE5tH0GtWM4oJSDv6Ty6HdORzancuh3bnkHLb2mGdgsMHKnTc3Mdc0GiQ3Uclc2w4kt2lPRH3T/pZVsRNVeOcr1E1E2ecvQG3d/gn1s8BFSVkJN/16E8sPLLc2KuE1kiKSuKTtJWbDPwG/WBiO8DL+kNwBLEdVz3T5lzKiQ0N6N6vPsp1SsEy4curwnw9XMWdKb3qm1DebdhdqpeZWJMETajX3zfJHImpF70xgGBBT1TcJDgukSbv6NGl37PuuKL/030Tv6CP7UO1tkwwI8t5tmfbAQBokNyGuabPjHqERpnfCq2oZx6qprscD/s1rmqYBwbque0TmrWnaACBb1/W1dR1LHWgH/IzJv/VSZym3/HYLi9MWWxuV8Co3d7+ZILtpgea7rYxFeB9fL6hSURNUZSGXalV/781izAuL8Z//FaK6okMD+ewX/Rq/AAAgAElEQVTafrSIN9xhc9Rs4EY84GJPeCQ7aqvWcFSy17f8uVNSXFDKoT15KtnblcuhPbnkZBTidJz6t+FlD/cjqsHxPzLnPf8kmxYtOOX3rknh9WJckrj6jZKrW83STBHqTvnXwDzA4w5IaZrWElU87GdgXGVJnqZpMagV5Txd14srmRtE+dZCXddd7oJqmhYGXAss13X99/Ln9gEbdV0fWv7fN6G2Mb+h63p+Nb88b9IK+A0w3OrhcDq4feHt/LTrJ2ujEl6lR0IP3hzxptnwJ6hK8EKY8peVO1CH2p/G4I5Hp+R6nNsliS9W7bM+KuEVsgtLmfj6Mj68ui9NGhiejQd17ioQuA6poilclaF2ESwHHkRt2ToDlegNB1JP5k2DwwJJbh1DcutjCwW6Uyc/u5jcI0XkZqhHTvnH3CPqUVZa+bdoQKDrjtLSOmhiHhgSSnRcPFFxCUTFxR//5/gEQiOjavLTlQF/AQtRF+q/Ap6ekPQGwoH9VVy9uwd1XAFN03SgBPV1H70joKFuPARybFvx68AUg/eKBW4DSjRN66TrehaQi2qujKZp9YGZqPNnr1b7K/MeqaitcoaJnVN3cs+ieySxE27ZNBt39LrDbLgEddZOCLf8KbkD+B/ql1P8iQO3j2jNd+v2U1SFCx7hn9Kyi7j4lSW8f1UfmsWGm027BtXs+iqkj5VwLxv4svwB0Jxjid5g4KT3D2o2jYiYECJiQkhsbjynILvYJeEryiuluNBBSYGD4kIHdoPkria2ZdoDAggOjyAkIoKQ8Aj15/L/Vs9HEtkglujyBK6Gk7cTlaC2Wi4sf/yB97UsOLP843NVnP8Xqol6PmplshR1Q2owqifbM6gCMUGo3S7h5a/5l6ZpbVHfo4XAo6jVvXhN02JRCWGkpmktUBejh8rntNA0LRwo0XV91Ul9pZ6pCSqxM22NMvOPmXy781vrIhJe6dwW59Kmfhuz4aeBHRaGI7yUP23LPOoq4BWjgSd/3MzsX7ZZHI7wNvGRwbx/VZ/KtmjOAa5AmouKkxOAapbeHehW/rELJiXVrZRzKJ3CvBwcxcU4Sh1omuoHp9k0NJtN/VnT1H//+2cbNrud4LBwgiMiCAyqUjHR2lKASuCOJnPLUAmOV9I0zQ6kAyt1XR92iu91P2qVra2u65sqmfsWcPlJfqr5R7ds+oAk1AqvyW0UeGDJA3yy5RPrIhJeKTwwnHnnzaNBqGGRp4NAS9SquBBu+dvKHcAbqHNRHU4cuPb05nz05x4O5bo9giD8XHpuMeNeWcJ7U/rQuqHp4sqlqC1NlyEV9ET1OYC15Y+3yp+zA204lux1B7qiVlUsExUXT1Scy+YHT7UPWHPCYyteuqquadqDqC2TRagVRyeqaE99IEvTtFtPeEkg6oZAOFCk63pNF2JYo+t6F03TAnVdd/tzTtO0AF3XHZqmLajhGOpSQ2A+bhK7R5c9KomdqJKrO11tltiBOlIkiZ2oEn9cuQO1heUHo4EP/9zNnZ/5Y4EvUV31w4OYc2Uv2jUyrHZ91OfAeNSFmBA1zY66m9u9wqMVJud+fFgJqnJlxSTubyCjLoOqaZqm7UWtFDk4dk4uHJXkVTwXGASElj9nQ1Xz3a/renKF92qBKsAyT9f168ufu5/qrdx1KU/ulqDO/TlwPW9sR91Ifk3X9avKkzuHD6zcpaKuI1qYTXhqxVO8tf4tywIS3qtxZGO+GvMVgfZAo+GVQE/kLL+oIn9cuQP4EfgOOOvEgYu6N2bO0l2s25djfVTCqxzJL2H8q8t498pedEquZzZtLPApcCGqF5oQNakM2FT+eK/C8yGoc0ApQFODj0moFSBv4UAVxfoH2FX+8Z8K/70P/9gC3RYo1HXdAaBpWgNgD/BfXdcfOzpJ07QXgKuBBF3X88tbJZy4wpuP+l44bPB5Jmqalo76HgkBGgF367peceXg4QrvWYr6nXqLSdzzObb1dQzeX1G4C+rrNb2JMnvVbEnsRJXd0uMWs8QO4CYksRPV4K/JHajqXsM5ocGwzabx0LkdGfviYpze/utH1LrswlIufW0Zb0/uRdcmpi3MRqOKZoxFFR8QorYVAVvKH0aCgGRUspfCsYSvXvkjuvyj6arEKSpDFexw9ziIahK+C0jDS7dS1qQTkiuAqajfYa+f8PzZqDN4+eWv03EtEqOf8LGi2yv8+Wg/if9SYVuYrutbT3hNIeUVMg04KP/703U922SOtxiEalpvWuXnlb9f4eW/X7YsIOHdejXsxZAmQ8yGPwF+tzAc4QP8OblbjyqsMvXEgS6N6zGuZxPeX77b+qiE18kpcnDZ68t564qe9DBvdD4C+AY4B1XQQYi6VIKqulaVyms21JmuBNRKRRrqHFcYarufs/xRVuHPZs/loBK3PLx/9aZOaZoWgbqj/7Gu64crPD8QlayfSnbRoeK2TE3TQnFfdCYYOBdVAda1xOqxOd5uLPAB6uaIobfWv8Xzq563LiLh1QK0AO7oadr6oJjjb7QIUSX+nNwBzADGoe5QH+f2Ea35Yf0BMvLlqJSoXF6xg4lvLOeNST3pk2p6IHoI8C0wCu8rtS78lxO1de8w6qaY8Ayno1ZY+2iadinwga7rZahdKaXAuzX1iXRdN9xxUGG7Z7/yz330+TzgSdRqn43yvnmapkV78crdNcCLmCevvLb2NWatnGVdRMLrTWg7gVb1W5kNP4naei5EtZj+kPITh4C7jAbqhQVx51mmvUaEcFFQUsakN5fz+9ZD7qadjmrma3pITwghKqPr+jxUMZ1fUVWgN2ma9jRqG/gruq6bbZGsSfVQWzUdmqaVaZpWrGlaESrhuxe1VbMQtVJcBGy3IKaapqFuBP8fbq6ZHlv+mCR2oloSwhK4vsv1ZsP7Ub2Zhag2f0/uAF4F/jQauLBHY3qmmJ6jEsJFUamTKW+vYMHmdHfT+gOLUFunhBDipOi6vkvX9WtQhVYygOnlQ3+Xr6rVtqNbW55CtQNojWrXUQDMLv9zK1RlyXcsiKem2VFfx3/NJpQ6S7lz4Z3M2TjHuqiET7iz152EBZq2Lr0T2eEjTpIkd+pMyLWYnP948NwOBNi8qaicqGvFDidXv/MXP2046G5ae2Ap0MOaqIQQvkjTtHBgIupnySZgCeq83TJN0043mJ9SXmWzSmfgNE2za5oWpmlavKZpjU8YPprcZem6/s/RB+r36YnP5eNdgoEPgevMJhSUFjBt/jTm7ZxnXVSiWnRdpzSrlNIjxx4l6SUU7Skib10eGfMzSP8yHUeetcV2T0s+jaFNTbuB/EYNbqsW/sdf+9wZmQ0Yro8/NG8Dr/2+0+JwhLcLtGs8P74bIzq4bTlWgDr3+Y01UQkhfIGmae1QPzumAnGoi8HrUXf7rwaeACJRlR1vO1rdUtO0paiedCdjnq7royrEEILadnmfrusPVXi+AHhc1/X7NU07DRgJTALQdd0bejBGAV8Ag80mZBZlct3861h3eJ11UYlqSf86ncPfHcZZ6L6LQHTvaBpfe+J9i9oTYg/hizFfkByZbDRcCnQGNloWkPA5/l5QpaJ7Ub3I4k8cmD60FXPX7OdAjrtiYUIcr7RMZ9r7K3nm4i6M7tzIbFoYqk3CTYCUWBNCmNI0LQZ4DhiAamGho3rIzdR1/Y8KU1/WNO17VMI3BnUu7rLysTmom0nFqJ0revnDWf7x6FaVo4VQNNT2xDBUP8GKIk1CtXNsZ1A6cAfqzN2z1fl660gCqoddV7MJaXlpTP1pKjtz5Kavkc23bKY0o9R0PGlKEjEDjI+85G/JJ/2LdAq2F6DZNSLaRZBwUQLBCccWmqvy/nqpTvoX6cQOjyU0NZS8dXlkLsykwZkNiGgXATbIW59H1h9ZJF6aePJf7Em4utPVZokdqCIqktiJUyLJ3TFZqAasLkvh4cEB3DeqHde/v9L6qIRXczh1bvpoteqH18f0iJ0NdcGWCtyK9PMSQhjQdT1T07Rs1Pm6d4H3dF3fbDJ3l6ZpZ6B+psyu8Pxso/kn6TAQQ4X+nZqm2VGtAo72gduCavq9Udd1Ty8/3Rz4ofyjoa2ZW5n681TSC9yeq/Zr8WPjDVfLDn52kMCYQOr1M64nlrs6l13P7yIoLojYs2JxFjnJXJhJ/oP5NJ/ZnKC4oCq//+7ndxPZKZKG49RCcXSvaAp2FKCX6UR2iaQsv4x9b+yj0aWNCIi07lI4NTqVSR0mmQ3/AzxkNihEVUlyd7z3gCmoiobHObtTIh/9GcvCrYddXyWEG2VOnXu/XMeujALuObutu6k3Ac2AS/C+8ylCCAvouj6tGnPLgMdqMRYddWP0xM+pVfhvJ7CmtmKoQX1RWzETzCasPLiSG365gZySHOui8kIx/V1X5bJXZOMsdJIwJQHNoI6B7tTZ984+QhqFkHpfKrYgtfBbf1B9ts3cxoFPDtDkuiZVfv+ghCCyFmWRvyWf0JRQ8tbnUXKwhAZDVKuitHfTCGseRnTv6Jr80it1X5/7CLQFmg1PQ/rgihogBVWOp6MOTxuerP3vmA4EB8j/MnFyXv19B9fO+YuiUrcLc2OAhYDpng0hhBA16gpgAW4Su1/3/Mo1P10jid1J0J066Z+nE5oaSlT3KMM5xfuKcRxx0GBEg38TO4DgxGCie0aTt868cKTR+8ePjicoLoidj+xkw9Ub2D1rNxEdI4g5PYacv3LIW5tH4mXWbsc8p/k59GhoWkPtc0Aq84gaIZmKqw2oss4umsWGc8PglhaHI3zJd+sOMOHVpWTkFbub1g3VnqOPNVEJIYRfCgCeQfUJDDKb9MXWL5j+63SKyuTc/cnIWpxFcVoxCReY5s44i9U2S3uI3WXMHmZHd5gX/zN6f3u4ndT7Ukm5PYWkK5NIvTeVpjc2paygjLS302g4oSGB9UxX0GpcVFAUt/S4xWw4H7VzR4gaIcmdsQeBPUYDU09PpX0j4ztPQlTFyt1ZnPfiH2w/5LaFTUPUneTL3E0SQghxUpJRhVPcXlS/tvY1ZvwxgzJdjkKfDKfDSfqX6YS3D1eFTEwENQwCm9peedzrS5zkrM4hNCW02u+v2VRBlpiBMYS1UP3k0t5JIyQl5N+tnc5S95U0a8odve6gfkh9s+EZmFxzCnEyJLkzlg/8x2ggwG7jyQs7E2iX3nfi5O0+UsDYF/9g2c4Md9OCUY1/H0dVnxNCCHHqhgPbAdNGY07dyeN/Ps6slbOsi8oHZf6aSWlGKQ0vcN8BIyAigJgBMWQvyWb/e/sp3F1I/pZ8dj2zi9JDpdQfZJwYVfX9AbKXZ5O3No+kSUnkrstlyx1b2HDVBrbcsYXctbkn9fVVxcCkgZzT/Byz4b9RBdWEqDH2+++/v65j8FSbUaWQW584EBcZTJlTZ9nOI9ZHJXxGscPJ16vTSK4fRttEt6vB/YHuwFxU+XIhhBAn57/Aq7i5YZZXksctv93C19u/ti4qH+QsdrJ79m4iO0YSOzy20vkR7SIoPlBM1qIsMn/NJOv3LEoPlxLSNITESxPRtONvqlfn/R05DnY9s4uGFzYkMDqQnY/uJKJ9BAnnJVCWX0b6F+lE94iu8cqZkYGRvDTsJSICTVctxwK7avSTCr8nK3fmdOBaTqgEdtS0wS1o09CsxY8QVVNS5mT6R6t5/PtNOJ3mZwqAs4GlQAtrIhNCCJ9iA35GbYEztTtnN5d8ewm/7f3Nmqh82OEfDlOWV0b8WJf2wYZswTaaTGtCy8daknJrCqGpoWCHpCuSDCtsVuf9095OI6RxCPUH1SdrSRYB0QEkX51MVPcokq9JJiA6gKylhpd7p+SWHreQEGZ61vAF4A+zQSFOliR37qUB040GAu02nrigM3aDHzhCVNeLC7Zz9bsryCs2LNR6VFtgOTDKmqiEEMInxADrgCHuJi1JW8L4eePZkb3Dmqh8mCPPweHvDlOvfz1CGoUYzinNKkUvc72pGZwQTFlhGYU7CokbGWd43q4q739U1pIs8tblkXRFEqDO8dmCbf8mjJpNwxZsw1lSs+fv+jbqy/mtzjcb3gXcWaOfUIhyktxV7m1UU1MXHZOjuea0VIvDEb7q543pnP/iH+w54rbNTQzwDTALdSZPCCGEuc7ACtTNMVOHCg4xbf40aXVQQw7PPYxeqhN/rvGqWvbybDbftJlds1x3JDpyHKS9k0ZwcjBxY+JO6v2PKs0qZf+c/SRcmPBvE/TITpEUpxWT/mU6xWnFHPziIMVpxUR2qrndWGEBYdzf9353U6YAbquqCXGyJLmrnA5cBRietv3P0Ja0iDevACVEdWw+mMs5sxexdIfbQisAN6K2abap/aiEEMIrXQIsASq9CxsXFsdN3aUafU0ozSwl45cM6g+uT1AD4w4T9gg7tlCb4XjaO2mUFZSRPCUZm0Fv4aq8/7/v9XYawUnB1B9yrCBLRPsI4s+LJ/3rdLbevZVD3xwifmy822qe1TW9+3QaRTQyG34VtUVYiFqh6brbcz7imKuBl40GVu3O5PyX/sD9kSkhqi7QrnH/6PZc0qdpZVMLgBuAN1E3IoQQwt9FAM8Dk6r7wrt+v4u5O+bWeED+5NDcQxyae4hWj7ciIKp6BUqylmax9//2Ejc6joTzjc+qVfX9MxdnkvZ2Gi0eaEFwQ9eNLqVZpRTvLyY4MbhGe971bNiTN4a/YTa8F+gAZJtNEOJUSXJXdRrwEyZ79h+et5FXf5d9+qJmXdanKTNHtyPAXuki+4fAVOQXhhDCv/UA3gdansyLixxFTPxuIhuPbKzZqPxM8YFiw4SqMll/ZHFkwRFSbk8xXLU71fevbaEBoXx2zmc0jmxsNmUkqr+iELVGkrvqaQasBcJPHCgqLeOsWb+z83C+9VEJn9a9aQyzxnUhOSassqk7gfHAstqPSgghPIoNuAV4GHC/DLP0Jeh4IYQbl89Py0tj3NxxZBZn1niQwrfd0fMOLm13qdnw25zEarIQ1SVn7qpnJybVjUIC7Tx+QSekeKaoaX/tymTkc7/z7dr9lU1tBixCfY/Kv20hhL9IBL4HHsddYldaAJ9dCd/fCa+cAWWlhtMaRTTiydOfJECr2Z5nwrf1btjbXWK3H5Pq60LUNGliXn0rgDMAl8NQSfVCKXY4+fMfudsnalaxw8m8tftJzymmf4tYd9s0bcBQYABqG7FU4xJC+LKzURWtO7qdlbEd3j0PdpT3ryvOhvT10H4saK53ZZMikwgPDGdx2uKaj1j4nKigKF4Z9goRQaZFWS4F1lgYkvBjcne/+pzAlUCh0eD0Ya3olBxtbUTCb7y/fDejn1/EpgOVluseAvyN2t8vhBC+JgR4DpgLGO+vPGrVu/DyQDi4/vjnN82DJbNNX3ZZu8sYlSptRUXlZvSdQUK4abPyD4CvLQxH+DlJ7k7ONuAeo4FAu41Z47oSFmS3OCThL7am5zFm9mLeXeLaH+gEscA84GmkJ54Qwne0A5ajKgWbK8qGTyfDV9OgxOQ8/I/3wm7zY8oz+86kXf12Jx+p8HmjU0czPGW42fABVOsiISwjBVVOnh2YD5xuNPjhn7u587O11kYk/M7w9gk8dn4n6oW57/UDrEQVW9lS+1EJIUSt0IBrgGdQK3fmdi+Fz6+CrN2Vv6stAG7ZBOHGDbP35+1n3LxxHCk6Uu2AhW9Likji09GfutuOOQK1bVgIy8jK3ckrAy4DsowGx/VswogODa2NSPidH9YfZOSs31m+s9KLjm6oBO8K1AWSEEJ4k1TUOeKXcJfYOctgwf/grZFVS+wAnA54ZbBpgZXEiEQpsCJc2DU7jwx4xF1i9xyS2Ik6IAVVTk0OsAO40GhwQItYvlyVRl6xw9qohF/JLXbw+ap96LpOz5T62AyKA5QLAsYA/YElgNyGFkJ4OjtwE/Ap0NrtzOw98ME4WPMBVHdXUmUFViKSiAiMkAIr4l9XdbqKc1ucaza8HrgYkAtAYTlJ7k7dBiAF6HLiQEignXaNovh81T7LgxL+Rddh6Y4jLN2RQf8WsUSGuG3zlIra2qSjeuKVWRGjEEJUUwdUIYrJVNa7bv0X8N5FkLHt5D/b4a0QHAGNexsOd4rrxN7cvWzJlN3t/q5DbAceGfAINs1wA1wJcBaw19qohFDkzF3NiARWoy6aXTzy7UZeWbjD2oiE36oXFshj53diePsqbQveiEr0fq/dqIQQosqCgbuAu6ksqSvJh+/uUBUxa8rkH6GJcYJXXFbMxO8msiFjQ819PuFVQgNC+XjUx6REp5hNuQ140rqIhDieJHc1pzewGLWF5DglDifnvbiY9WmVlq8XosZc2qcp953dluDAKlVufR24HdmqKYSoW71RP4/aVzozbbVqSn4qq3VGKimwciD/ABfPvVgKrPipmX1nckGrC8yGf0X1mnVaF5EQx5OCKjVnGXC/0UBQgI3nxnUltGoX2ULUiDlLd3HO7MVV6YkHqnfjJlSRICm4IoSwWjiqCuYSKkvsHEXw8/3w2pCaT+yg0gIrDcMbSoEVP3Vm0zPdJXZZwOVIYifqmJy5q1mLgcFAkxMH6ocHUT88kPmb0q2PSvitjPwSPvpzD0WlZXRvGkOA3e39nHDgPGAgsBTIsCJGIYTfGwp8jyob7/7m0q4/4L0LYPO3oNfiNbQUWBEnSI5M5oUhLxBsN20beznq5oQQdUqSu5qlo5bkJ2PQNLpjcj22peex5WCe5YEJ/+XU4c9/Mvl6TRrN4yJo2iC8spc0A65GXWRJwRUhRG1JAl5EnU+q53ZmcS58fxd8dysUWLQd8vBWCAqDJn0Mh6XAiv8ItAXyf0P/j+TIZLMp7wIPWRiSEKbkzF3tmAC8ZzSQV+xgzOxFbD+Ub3FIQiijOyUyY3Q74iLd9wAutxlVcOW32o1KCOFHQoCbUQVTKr3bxNYfYe50yK6j4oOTfzBN8KTAin+4veftXNbuMrPhHahestnWRSSEOUnuas+7wKVGA1sO5jJm9mIKS2VBRNSNqJAAbh/Rhkv7NK3qS95EFVw5XHtRCSF8nIba+v0UqoWQewUZqhLm2k9qOaxKSIEVvza48WBmDZ5lNlwK9ANWWBeREO5Jcld7ooGVmLRH+GLVPqZ/tNraiIQ4QbcmMTwytgNtGkZVZXoGcAvwDmoLshBCVFUn4FngjCrNXvuJSuwKPOTob3RjuHEl2IMMh1ccWMFVP16FQ5ee1b4kOSKZj0Z/RFSQ6e/ImwDTzE+IuiBn7mpPMbAImAS4lNRqmxjFodxi1u6TVXxRd/ZnF/Hh8j0UlDjo3rQ+ge4LroQB56KKHmwH/rEgRCGEd4tFnal7FZObncfJ2QefXQWLnobSwtqOreqKc+DgOuhwvmGBlUYRjYgMimTRvkV1EJyoDUG2IP5vmNtzdl+ithcL4VEkuatd+4GDwGijwQEtY/lt8yHSc4utjUqICpw6rNiVyVer95EaF05KbKVHYJJRVcH6o5qgp9V2jEIIrxMITAM+R1XgdV8F0+mAZS/Dx5erKpWeKGMbBIa6LbCSlpfG5szNFgcmasNdve/ijMamC827gJGAB92BEEKRbZm1T0OdV7rcaHBvZgFnP7eI7ELjfjpCWO3sjonMHN2O+KgqFVwB+BS4D9UnTwghzkRtwWxbpdnb5sMPd8EhL0mKJn8PTfoaDhWXFXP5d5ezPsNDE1RRJSObjeSx0x4zG3ZwrGWQEB5HkjtrhKF+CHQ0Gpy/8SBT3lmB/FUITxEVEsCtw1tzae+m2GxV6mnuBN4C/gvsrs3YhBAeqw/wIKpvXeUytqukbssPtRpUjbMFwM2bIMK8wMq4uePIKPKQ84KiWlKjU/ng7A8ICwwzmyLn7IRHk+TOOq1Q1ZQijQYf/34TLy7Ybm1EQlSia+N6PDK2I20Tq1RwBdRZ0xeBR4FDtRaYEMKTdAMeAM6u0uziHPjtcbUNs6ykVgOrNVJgxSdFBkby/tnvkxKdYjblM+BCpKiY8GBy5s46GcBW4CKjwT6pDfhz5xH2Zsr2beE5DuQU8dGfezicV0yHpCjCg11qA50oAOgLXAsEoSrGeunVmxCiEh2Al1BbMFtVOlt3wqo58OEE2PEr6F7cDqg4Bw6shQ4XmBZYiQqKkgIrXsSm2Xhm0DN0ju9sNmUbMAoosi4qIapPkjtrbQDqobauHMemaZzeKo6vVu8jv8SLf+EJn+PUYc3ebOYs3U1BiYOOSdEEB9ore1kQMAi4CtUHaDXqnIIQwvu1BmYDLwDtqvSK3Uvh48tgxRtQWlCbsVmnkgIrHeM6SoEVLzKt6zTGthxrNlyEOku6y7qIhDg5si3TekHAAtTqhotVuzMZ98pSih1OS4MSoqqiQwO59vTmTOqfQkjlSd5Re4D7UT3yJMkTwjulAjOAywC3fVP+lb0XfpoB6z6rzbjqlhRY8XrDmg7j6UFPu5tyBepcuRAeT5K7utEYtV0t1mjws5V7ueXjNdZGJEQ1xUcGc+OQllzcs3Fl/fEq2gTciyqPLj98hPAOjVH/bidj0LfVUGEW/PE8LH3Rd1bqzFRSYOVg/kEunnuxFFjxUC3rtWTOyDnuCqjMBm6wMCQhTokkd3VnGPADJr1/Hvl2I68s3GFtREKchKYNwrh5WCvGdEmqzsvWAs8AHyDnF4TwVK1RTZonoXadVK44B5a8qJK6ouxaDM3DVFJg5a+DfzHlxyk4nLJxwZNEBUXx4agPaRzZ2GzKQlT1V+lXJbyGnLmrOztQKxeGHTL7N4/l773Z/JORb21UQlRTdmEp3687wI/rD5JYL5RmlTdBB0gAxgBXA+GoFT35Zhei7mnAacDz5Y/uQOX7r0vyYckL8Mkk2PYTOIprNUiPIwVWvI5Ns/HsGc/SIbaD2ZQ9qBvxudZFJcSpk5W7umUDPgbONxrMLSpl7It/sDU9z9qohDgFPVNiuG14G3o1q1+dl5UA76Gq7v1dK4EJIdwJQP0uuhXoUdP3Q8AAACAASURBVOVXOYrgz9dg0bOQL91PGHI/DJxuOnzvonv5avtX1sUjTE3vNp3JHSebDRcBA4C/rItIiJohyV3dCwcWA4a1d3dl5DPmhcVkFciOAOFdBrWO444RbarTI++oX1BbNr9FNUcXQtSeSNRZuulA0yq/qqwE/nobfn8KcvfXVmze6YrvoGk/wyEpsOIZRqSM4InTn3A3ZSLwrkXhCFGjJLnzDE2AP4F4o8E/th9m4uvLcTjl70p4F02D0Z0acfOwVqRUbbtmRVuAWcDbyJZNIWpaEqpIxFQgusqvcjpg9fuqCXn2ntqKzbtpNrhlM0QY/kqXAit1rH2D9rw54k1CA0LNpjyLutkhhFeS5M5z9Ad+BQKNBt9Z8g8zvpI7fcI7Bdg0LuyRzFUDU0mNi6juy7OAV1AVy+RqUohT0wV14Toek983hspKYe0nsPAJOCLFviolBVY8UmJ4Iu+f/T6xoYbFykHtHBmOtOwRXkySO88yCXjTbPDeL9YyZ9lu66IRooZpGpzROp4rBzSjfwvTX65myoBPUHdVl9V4cEL4rkhgHHAV0LNaryzKghVvwfKXISetFkLzYa1GwPgPDQusAHyw6QMeWfaIxUH5r4jACN456x1axrQ0m7ILdd70sHVRCVHzJLnzPE+hSk+7cJQ5uez15SzZIVs5hPdrmxjJ5P7NOKdLI4IDqtwM/aglqHN5XyIlqoUwogG9UQndxajz3VWXtVu1M1j5LpRIUa+TNmQmDDT8lQ7AfYvv48ttX1oYkH+ya3ZmD5nNgKQBZlMKUTuoVlkXVd3TNK05kAps1XX9nzoOR9QQSe48jx2YC4wwGszML+HcFxezK8PHm8IKvxEbEcSlfZpyaZ+mxEYEV/flh1EVZ+cAS5HG6EI0AC4DpgDtq/3qfStV8/GNX4GzrKZj809XfAtN+xsOlZSVcPn3l7Pu8DqLg/Iv9/a5l4tbX2w2rAMXAJ9bF9Gp0TQtCfVvvQhVbdqBKkB2tAiZhqqAG4S6sZOn67rLfmpN08YD7wNtdF3fXP7cmPL3rHjj1A5EACt0Xd91QhxH59pQW73DgShUHYlGQCugA6q+xEBd16W1RC2T5M4zRaMuVNsYDe48nM/5L/3BkfwSa6MSohYFB9g4p0sjJvdvdjIVNkH1jnyv/LG5RoMTwrPZUD1TpwBjqWrD8Yo2f6uSul1/1HBoQgqs1K2J7SZyW8/b3E25HXBbOtPTaJp2FeoselU9quv63RVeH43q3zcM+B5IBLJRSeJWVFJmQyVt+aikLQror+v6HxXe5xngpgqfxwHkoBK8I8D68tcXoRLO+bquVyducRIkufNcLVHnimKMBlfvzmT8q8soLJU7q8L39GvegCsHNGNI24STfYsVqNW8D4GDNRaYEJ4lGVWy/UrU1qrqcRTB6g9g6QtweGtNxyYqikqCG1dDgBRYsdLgxoN55oxnsGk2symvAtfgZbs+NE2bgLqRGarrelH5cynATmCYrus/V5h7AJit6/pDFZ5bjWrBVYZalTv6cSCwUtf1gvI5n+u6/oCmaReidsk00nV9f4XPl49KAouAQl3XS8rHFgCbdF2fWuFz2oAQIAwI0XV9b83+XxFHSXLn2Yai7qgYHkj6eeNBrnn3L8qkRYLwUamx4VzRvxnnd08iLCjgZN7CCfyE+iX4BSCHh4S3S0JtIbsIMG6mVpnMf9RZupVvQb7UjrBMyzNhwsemBVY+3PQhDy972OKgfFe7+u14c8SbhAWGmU35CTgbLzy3rWnaOOAD1Nbro9u4koAFwOVAxSX4JcCsE5K7XqhVtg6odkNnlL/PRl3XMzVNawCkAWN1XZ+nadodwP1AmK7ruqZpARj/f3OiEmV7+cej20RtqJW7o7J1Xa93cl+9qIwkd57vOuAFs8H3l+3m7i/WWhiOENaLDg1kfK/GXN4vhcRo095ElSkAvkKt6P2EF/5CF36rEXA+KqEzrQjhlqMYNs2Fle/Azt9AfvfXjcH3wWm3mg5LgZWakRCWwPtnv098mPFWWGAD6uZItnVR1ZwKyV1V3VcxuavwPoNQbbgSdV0/UOH5J1E/b5rrul6qadrnQCtd1ztUmNMWtbWz4rk/Byqp+xnYhOqlefT8nx0ILn+E6Lq+rRrxi2qQ5M47/H979x0fVZX+cfxzZ9I7JKEkoZMgvYMiVRSwi6649t7WvrqrK7u2te3+FF1sq7joWhZ17Q3BAqiLghUQlCZI7xAIIf3+/jgTCcncSZuZZGa+79drXpPMPffOI0Iyzz3nPM/fAccF4w/OXs4jn+jfiIS/KJfFsb3a8JuBOQzPzcTt8n4HvA62Ay9jEr2FhNiSHIkIbTiY0I3g0LvedbftR5PQLX4JCnf5MTxpsAveg47ec/SS8hIu+OACluzQTduGSo5O5tkJz5LXMs9pyDZMJdm1QQvKz6okd/VelmlZVh/gCWA3kIapEvohJvn6CtgJ3A9MxOxfnw+0BO61bXuyl1imYX5WFWKSu3LMDakSzO9aMMldPPC+bdsX+umPQRw0aJ2TBN0tmL0VZ3o7eOO4bmzJL+K/32j5soS3sgqbdxZv5p3Fm8lMiuXEvm05uV82fdvVe3VHJnC157EKeBWYhfklpkpF0lRaYwqiTAJG0dCErmQ/LH0dvvk3bPjKj+GJX/z7RLjxJ0iquac4xh3DQ2Me4ox3VGClIWLdsTwy9hFfiV0RcBIhnNh5NPjOJqbK9H+BPZjfd32ALcD/MEsxlwO7bNt+G8CyrJswRVaWWpbltm27erGHcuBH4OQqr73lOafqNPUcoLgRcUsdaeYudMQC7wNHeTtYVl7Bxf/+mnkrtns7LBLWOmckcnL/bCb2y6Z9uuP+irooAD7B7HWdhanAKRIoFuaD1XGexzDM3pSG2fitmaX74VUoVrXxZq2WAivfbv2Wi2dfrAIr9eC23Dw05iHGtBvja9jpmJt5Ia0B1TIPmXWzLCvVtu18z9c7gDts237U8/3ZmFUtlfvn4OCeudjKoilVrvUIZgvRgSovx3vOL6722j9t276qHnFLAyi5Cy2pwKeYDwM17C8u44ynvuCHjXuDG5VIMzKgfQtO6Z/FCX2yaJlY/4rw1aziYKI3B1MZTKQxkoGxHEzosht1tfwNsOwtWDQDtmgpX0hRgRW/umvYXUzMnehryC3A34IUTkBZlpWDWYGyH5NAVQB3YmYkn8YssXRh2qLEAXur9aebDpyI6T23HngN8zvuB6ArpgBZZpW3nAg8Ydt2jRV/lmVNBfrYtj26ymtzqVkt83vgf0ruAk/JXejJxlQ+auft4PZ9RUx8fD4bdh/wdlgkYkS7LUbkZjKxfzbH9GhNXLTXorP1UQJ8zsFkbwnaqye1cwMDMf2kxgFHYHpGNdzejbD0TVj2pll2qd/joauWAiu3/e823lj1RhADCk3XD7iei3tf7GvIk8CVhMHPbMuyEjF75Sr7x5VikrudwMu2bV9pWVbVJubxmCqX66pc40WgnW3bIz0zd/GYP5ubgY3AG7ZtW1XG/xZ4wSG5ewLoDZxQ5eV3gRXA76u89hnwpW3blzbyj0BqoeQuNPXEfMj0utFo9fYCfvPEfHYXqhigCEBSbBTje7bmlP7ZDOuS0ZhCLFVtxiR5szCb0bVBRsAsXeqCWUJ/DGaWzmu/0nrZt9kkdEvfgA0LldCFExVYaZRze5zLHwf/0deQ14AzMHvDQp5lWadgZtbqY6Vt279uRLQs6xNMX7rjqy7L9CSFJ3uun1zl/NOAfzkkd88B52L+fCsTzTjPcxlmBtHtebxk27bX+hHiP0ruQtcoYDbmrkwNi9bv4eynF1BQrPX6IlW1So7lxL5ZnNIvm945qf66rI2pMjYLsyn9G8ymdQl/8ZiZuWFVHpk+z6irfVvMksulb8D6L5XQhSvL5VhgBWBr4VYVWHFwQucTuG/Efb6GzAGOJYwKeViW1RKznPIAJpkqBSYD5wE9MLN5Vb0OFNu2PabKNdZ6rjEeU3Wz6p6703Del+iyqyQOlmXFYn7+5WPaIpRiEro3MQVV/oBJ6mIwW4tSgYXV9+2Jfym5C22TMOXcvVqwZifnT19IUWmF0xCRiNYxPYFR3VoxMjeDI7qkN7RRupO1wNdVHt9gqpNJaMvi0ERuAI1dZlnVvi3w4zsmoVv3Bdj6+R0RVGCl3oZnD2fqUVOJdjn+8/sOGA2EdSECT6+6WcDDtm3f7OX4GmCebdsXeL7Pwiy9fBS4GJN83WTb9iOe4+cCj2DasVQajql8eZpt2/urXLsjpv1CpcpedzGYmbtSDu79q1wy0862bZV3DyAld6HvBmCK08FPV2znkn9/TUm5PiCI+BLjdjGoYwtG5WUyMi+T7m1TAvE2qzg04fsWc7dTmqd4zJ3wwzmYzHX06zvYFWbf3MrZsPJD2LJYM3SRquvRcParKrBSB30z+zJt3DTio+KdhqzG9G/bGryogsuyrATgOuB2TC2GcbZtl1Ybk4dpbXCzbdt/97x2CaZ/cgbwIHA9ZlvBVcArtkNiYFlWNGZb0CLbtm3LsvpjVq0keM7fy8Em5lVbIViYBC/J857FQKlt20v98ych1Sm5Cw9TMEmeV7OXbuF3L35LWYX+X4vUVeuUWEbmmkRvRG4GaQmNrrzpjY35xVs14fseVeUMNjdmn1xvoJfnuTemalzDWxM4KdwJqz+BFbNg9cdqLi4HHfVnGPkHx8MqsAJ5LfKYPn46qbGOy+q3YBK7sGxlY1nW6Zg9cMdj9rZNBW61bbu4ypipmGqYbTxj+tu2/b3n2HfAKtu2T/d8fy1wN2aP3TpgLrABM/OWArQF8oBuwA+2bQ/2nLcK83MTTMJWOWtnY/bfVSZ1FmZ1Q2WBFzAziaP996ciVSm5Cw8u4FnMhlav3vxuI79/5XuU34nUn8uCPjlpjMzLYFReK/q1S/NXURZvKoBlmERvKWa2bxXmg0phoN40QliYDypVE7hemNk5xymARisrhnVfmoTu5zmanRPfLngXOo7weqikvIQLP7iQxTsWBzmo5qFzamemj59Oeny605C9wEhgUfCiCi7LsjpjlmHOxCzFrJHEWpY1AJiGWTL5km3br1Y5djJgVzYp97yWCVyEqeeQB7QCEjn05lYZ8A/btm/ynJOGSeqKnGb7vMTlwvysjarssyf+p+QufEQBL2Hu5ng1Y+E6/vS6Km6JNFZKfBRHdslgVLdMRuZmkpUWuLygmg2YRG8f5u7oMsxevvnApmAF0cwlAR0wyyerP3cFWgY8gvJS2LzI7Jn7eQ78Mh9K1Z5G6shywe9/hOQ2Xg9HaoGVDikdeGb8M2QmONYrKsa0G/k0eFGFN8uy3JibYuV1TeCk6Sm5Cy8xmApFxzoNmP75Gu56d1nwIhKJAF1bJTEiN4M+OWn0yU6lS6ukpgjDxmyS/x74xfPYAGzHVO6sfFSvpBYqLMyd5JZAOqbXZ0cOJm6VXzve0g+Ywp2wfgGsW2CeN3+vZE4aJ7ktXLdYBVY8cpJyeHbCs7RO9F5RFLPi4TTMZyCRiKbkLvzEA+9jKkR5NfXjlUz5cEXQAhKJNMmxUfTMTqF3dhp9clLpnZ1Kx4zEpg6r0n4OTfa8PQowd8GLMclgsY+H0y8RF2afRUyVZ29fJ2ISssqkrerX1V8LyMbHetu2DNYvNInc+gWwc3VTRyThqJYCKy8vf5m7v7w7yEEFX5vENjwz/hlyknN8DbsYmB6kkESaNSV34SkZ0wPvcKcBf5v5E0/M0wcSkWBJjY+mV3YKfbLT6J2TSp+cVHJaJDR1WP5QgknySji4YT4GU6Qk9O3bDNt+NBUt1y+ADd9AkTpaSJDUUmDl9vm38/rK14MYUHBlxmfy7IRnaZ/S3tew3wFPBCkkkWZPyV34agF8AvRzGnDbWz/w3Be/BC8iETlEy8QYemenmmTP89w2NWj796SqonyTxG1bZh5bPc8Hdjd1ZBLpzn8HOo30eiicC6ykx6Uzffx0Oqd19jXsBuDhIIUkEhKU3IW3TGAe0N1pwOQ3lvDignXBi0hEfMpMjqVPTiq5rZLokJ5Ix/REOqQnBLNoS3grL4Htyz1J3I+wdan5Ol89daWZqqXAyrbCbZzx7hnsOLAjyIEFTlpsGtPHTye3Ra6vYbcAfwtSSCIhQ8ld+MvGVI5yvPV1x9tLeXb+2qAFJCL1Fxfton3LBM4Y1J6LR3Rq6nCar4py2LsR9qwzj/z1nq/XH/w+QopQSBhJbgvXLYKoWK+Hv9v2HRfNuigsCqykxKQwbdw0eqT38DXsDuDO4EQkElqU3EWGjsBngONu5Hve+5Fpn4Vlv0+RsHLrcYdx2cguNQ/8Mh8+uh1S20Fae/OcmAkJLSEh3fNoCa6o4AftL2XFcGCXWSpZsB3y19VM3PZuUvIm4amWAiuvLH+Fv3751yAH5V+psak8dcxTtSV29wGTcS7mJBLRQvi3vNTDWuBozAxeK28DJh/fnWi3xeNzVWRFpDnrkunQZmH7ck8Fx4XOJ1sWxKZWS/iqP1pCdDy4YyAqzpRid8eaGQN3TM1nX8pLTM+38lLP1yUm8ar8urwMyopMslaZtBXuPvh94a5Dvy5VD3eJYKs+gk//D0b90evhSd0msWznMl5b+VqQA/OP9Lh0njrmKfJa5vka9hBK7ER8UnIXOZZjEryPMXvxavjjhMOIiXLx8EcrgxqYiNSdY4XNPXUojmTbptJj0R7Y5YeZesuqkvhFm2StvAQqPAmdiPjXnHug/eGOBVYmD53Mqj2rWLR9UZADa5xWCa2Ydsy02oqnPA7ciBI7EZ9cTR2ABNUSTP+7rU4Drj86j5vGdQtaQCJSP5nJDrNlu5ug8q1tm5m3onzYv8MkjaWFSuxEAum5k2HfFq+Hot3RTBk9hYz4jCAH1XBtE9vyzPhnakvsngauQYmdSK2U3EWeZcAoYJPTgKuP6sqtxzkW2BSRJpQUG+39wJ61QY1DRJqIXQFPjTZ7UL1oldCKKaOnEBUC+2tzknPq0sduOnAFUBGcqERCm5K7yLQck+Ctdxpw2cjO3H6izw3NIhJkLhdEu70XU2iSmTsRaRr7NsOMM83suRf9W/XnT0P+FOSg6qdjSkeenfAsWUlZvoY9AVwKlAcnKpHQp+Qucq0CRmKKrXh14ZGduPuUXk6FuUQkyLq3ScHy9g+ypAAKdwY/IBFpOqs/hk//7nh4UrdJnJZ7WhADqruuaV15ZsIztE5o7WvYFOAqNGMnUi9K7iLbWkyC51gi85zDO3D/qX1wKcETaXL92qV5P6BZO5HINOdeWDPP8fDkoZPpm9k3iAHVrnvL7kwfP722fYH3AjehPXYi9abkTtZjlmgudxpwxuB2PHLmAGLc+usi0pS6t03xfqAulTJFJDw9d4pZpulFZYGVzHivRbKDrm9mX54e9zQt4lr4GvYX1O5ApMH0aV0ANmKqaC5zGnB8n7Y8e9FgkmKb/wZtkXDVKSPR+4Hda4Mah4g0I3YFPDWm1gIr0S6HYkxBMiJ7BNPGTSMl1uEmlfEH4O4ghSQSlpTcSaUtmARvsdOAYV0yePnyw8lMig1aUCJyUFZavPcDWpYpEtlqKbDSr1W/Ji2wclKXk5h61FTioxx+hhnXAA8EKSSRsKXkTqraDhwFfOs0oGdWKq9eeQTtWzo0UhaRgGmZ6NDjTssyRWT1xzDvb44J3undTuc3ub8JclBwYc8LuWf4Pb5aM9jAZcCjwYtKJHwpuZPqdgJjgc+dBnRIT+S1K4fRM8vn0goR8bPEGLf3A5q5ExGAuff5LLBy69Bbg1ZgxcLipkE38ftBv/c1rAK4AJgWlKBEIoCSO/FmDzAOeNtpQGZyLC9ddjhHdEkPXlQiESwuyoXbqWytZu5EpNLzE30WWHlo9EMBL7ASZUVxz/B7OL/n+b6GFQETgecCGoxIhFFyJ04OAKcB050GJMdF8+yFgzm2V5vgRSUSofq1T/Pe427/DijZH/yARKR5sivgyVGOBVYyEzJ5aPRDASuwEh8VzyNHPcKJXU70NazWm8gi0jBK7sSXMuASTL8Zr2Kj3Dx21gDOGdo+eFGJRKA+OaneD2jWTkSqK9gKM85w3H/Xt1Vfbh16q9/fNjU2lWnjpjE8Z7ivYZswPXY/83sAIqLkTmplY/rNXOc0wOWyuHtib244Ojd4UYlEmG6tHfa4ar+diHizeg7Mu98xwftN3m84Pe90v71d28S2PDfhudr29K0AjgSW+O2NReQQSu6krqYCZwKlTgOuOzqP+07tTZTTviARabCOGQ4VajVzJyJO5t7vs8DKn4b8iX6Z/Rr9Nr0zejPj+Bl0Tuvsa9hXwHBgbaPfUEQcKbmT+ngJOB5w3OBz5pD2PHPhYFLi1OxcxJ9ap8R5P6CZOxHxpZYCK1NGT2lUgZVxHcYxffx00uN9FlibjWm1tL3BbyQidaLkTurrQ0yz8x1OA0bkZvLalcPIaeGzWamI1EOLBPW4E5EGCGCBlYt7XcyDox8kLsrh5pMxAzgRKKj3G4hIvSm5k4b4GrNm3vFTZW7rZN686kj6t0sLXlQiYSw+2qnH3dqgxiEiIcjPBVaiXFHcNewurh94fW1D/wGcA5TU+eIi0ihK7qShVgDDgMVOAzKSYplx2eEc37tt8KISCUPpiTG4vO1ltSsgf0PwAxKR0LN6jtmD18gCKykxKTx59JNMzJ3oa5gN3ATcgGlULiJBouROGmMTMAL4wGlAXLSbx84ewLVjuwYvKpEwM6C9wwz43k1QrhviIlJH8+6HNXMdD9dWYKVdcjteOO4FhrQd4utdCoFTgQcxSZ6IBJGSO2msvZi19I/7GvT7Y7ox9bf9iI3SXzmR+uqVrR53IuInz58Ke+tfYKV/q/68eNyLdErt5OvqmzE97N70R6giUn/6pC3+UAZcjVl+4XiX7qR+2bx8+RG0So4NWmAi4SC3dbL3A9pvJyL1ZVfAU/UrsHJC5xN4etzTtIhr4evKi4AhwDf+DFdE6kfJnfiLDTwMnIJZkuFVv3ZpvHX1kfTMcmjILCI1tGvp0ONObRBEpCEKtsKLk2otsOK23Nw06CbuG3EfMW6Hir3Ge5htGtoELNLElNyJv72NaVK60WlA29R4Xr1iGCf1zQpeVCIhzHG2W8syRaSh1syFuff6LLDy2kmvcX7P82u70lTgZGCffwMUkYZQcieB8B0wGPjKaUB8jJupZ/bnthN6EOWtCqCI/Co13qH/lGbuRKQx5v0dfp7reLhLWhdfZ1cA1wDXAeV+jUtEGkzJnQTKZmAU8JKvQRcN78SLlw4lM0n78EScOBYi0sydiDTW86eYyrv1U4Appvao/wMSkcZQcieBdAA4C7jN16ChndJ599rhDGjvc6O2SERq3zIBy/Iyu11WDPu8V7wTEamXp0Y7Fljx4mdMn9v3AxaPiDSYkjsJNBv4KzAJk+x51ToljpcvP5zzjugQtMBEQsHADg43PfLXO+6VERGpl4oy2PpDXUZ+hNl2sSSwAYlIQym5k2D5L+ZO389OA6LdLu46uRdTJvUlLlp/NUUAemQ5tUHQkkwR8YOsAXD5PMgeWNvIxcDxwK7AByUiDaVP0BJM3wODqGUpx6kDcnj9ymG0axkfnKhEmrEumUneD2i/nYg01oDz4KIPILVdbSOnAX2BksAHJSKNoeROgm03ZhP2nb4G9chK5d1rRjC6W2ZwohJppnJaqMediPhZVCycOBVOesR87awcOBe4LDiBiUhjKbmTplAB3AGcAOxxGpQaH8308wdz3dhcvNWTEIkEGUkOjYM1cyciDdGiE1z4AQystX/dJqAP8ELggxIRf1FyJ03pPcwyzcVOA1wuixuOyeO5i4aQ6dTIWSSMJcWqx52I+EmfM+CKzyB7QG0j7wPaA8sCH5SI+JOSO2lqq4EjgBd9DRqRm8nM60YwOk/LNCVyuFwQ7XaYtt6zNqixiEgIi02GU58yj1iHIk3GPuBU4FbUmFwkJCm5k+agELOm/1qgzGlQRlIsz140hD8f350Yt/7qSvjr0SbFe4+74n1QqIJ1IlIHOYPgis/NrJ1vPwJDgDcCH5SIBIo+IUtzYQOPAGOALb4GXjKiM69dOYxOGYlBCUykqfRrl+b9gPbbiUhtLBeMuAkumgUtOtY2+lVgKPBTwOMSkYBScifNzefAAOAzX4N656Ty7jXDOXVAdnCiEmkC3bNSvB/YvTaocYhIiEnJgvPegrF/AVeUr5ElwHXAJMySTBEJcUrupDnaDByFaZdQ4TQoMTaKKZP6MWVSX5Jiff7yEglJjrPTKqYiIk4OOwGunA+dRtY2snIZ5lTM6hkRCQNK7qS5KsO0SzgK2OBr4KkDcnj3muH0yUkNRlwiQZOVGu/9gJZlikh10fFwwkPw2xchvkVto5/EVKteFPjARCSYlNxJczcP6Ae85WtQx4xEXrtyGJeO6KyeeBI2WiY69LjTzJ2IVNW6F1w2FwZdVNvI3cBpwBWYYmYiEmaU3Eko2AlMBK4Cip0GRbtdTD6+O89fNJTsNIcZD5EQkhDr9n5AM3ciUmno5XDpJ5B5WG0j52Gakr8e+KBEpKkouZNQYQOPA4Mx+wQcDc/N4IPrR3DG4HZBCUwkEOKjXbidpqH3rAtuMCLS/CRmwFmvwLF/h6hYXyPLgcnAWGrZ5iAioU/JnYSaJZh9Ak/5GpQcF83fTuvDMxcMpnWKz196Is1Sv3YtvPe4278dSvYHPyARaT66jDVFU/LG1zZyDTAcuBc1JReJCEruJBQVApdjSjfn+xo45rBWfHjDKLVMkJDTt51DgSDttxOJXHFpcPKjcO7rkNS6ttH/AfoDXwY+MBFpLpTcSSj7L9AXmO9rUEp8NFMm9WPaeQPJTNIsnoSGvNbJ3g9ov51IZOp+Ily1APqfW9vIAuA84GxquQEqIuFHyZ2Eul+AUZj9BKW+Bh7Tow2zbxjJbv1LPQAAH/tJREFUiX3aBiUwkcbomK4edyKCmaGb9Dyc8QIkt6lt9EJMhennAx+YiDRHSu4kHJRh9hMMBL7zNbBFYgyPnDWAx84a4FxmXqQZaJ0S5/2AZu5EIke/s+GqhdDjpNpG2sD9mP11qwMel4g0W0ruJJwsAYYCd2ISPkfH92nL7BtGMr5nrXdBRZpEWkK09wOauRMJfy06wrlvwimPQ3xabaM3AkcDf6KWFSwiEv6U3Em4KQXuwCR5P/gamJEUy5PnDuSf5wykjdMsiUgTiY9WjzuRiGO54PArTSXMLmPqcsY/gR7AJ4ENTERChZI7CVffYlom3AdU+Bo4oVcbPrpxFBce2RGXQ1sxkWDKSIrB5e0vo10B+euDH5CIBF7mYXDxbJhwP8Q47Lk9aCUwGrgS2Bvo0EQkdCi5k3BWDNwKDAOW+xqYFBvF7Sf25M2rjqRXdkpQghNxMqC9wzKs/A1QrlVXImHFHQ2jboYrPoOcwbWNLgf+hqkUPS/gsYlIyFFyJ5FgAabXzxTMpnNHfXLSeOuq4dx2Qg8SYxyWxYkEWK9shx53WpIpEl6yB8Jl82DMreCutcjX98AQ4BbgQMBjE5GQFNXUAYgEyQHgRuAN4Fmgi9NAt8viouGdmNCrDXe8vZTZy7YGKUQRI7eVQ487FVORALJtm637bcqqLGQvKYeCEputBTYrd1Wwfb/N1UOiSU/QveFGiU6AoybD4b8z++x8K8YUCnsAFUwRkVoouZNI8znQB/gz8Ad8/BvISovnqfMG8eGyLdz+1lI25RcFK0aJcO1aJng/oJk7CZB7Pi3m7/OL2Vvse9xve0WRnhAbnKDCVd4EOPZvpiJm7T4HLqGWrQUiIpWU3EkkKsTsxfsP8CRmT56jY3q0YViXDKZ8uIJn56+lvMLnyk6RRmuV7PDhWTN3IWXzvgp6PF7AHs99Ifv2mvt5v99Szm1zipn3Sxml5TCgrZtbR8RwXK5DKwyPjg/v45d8559Fz54cx/n9zDK/z9eVcducYhZsLCfaBWM7R/G3o+Po2tLMGD35dQl/mVPMjUfEMCTbzezVZTz9XSnXD43h6M5uXBZ8+HM5Lywu5ZFjVVm4wTK7wfj7oOvYuowuAG7GVMP0WRRMRKQqy7b1QVUimgu4GPg7UGszoaWb8rnznWUsXLMr4IFJ5PrprxOI89YKYfp4WPdl8AOSBlm4sZyFG8t5f2UZM1eV1UjuPv2ljPEvFNI60eLs3tFEueCVZWUs31HBv06K48L+znuwnltU4nWW7c+fFJGd4mLxFYm4XRbvrSjllJcP0KWFi9/2imJfMfzruxKiXBZfXZpIpxYuTn6pkAob3jnz4Ixx7ycKGN3BzSPHxbP7gE3Pxwt4aHwcZ/TynXSKF3FpMPoWGHIpuOp0T30mcAWwLrCBiUg40sydRLoKYBrwNvAgcLavwT2zUnnl8iN4d/Em7nv/Jzbu0Z528b/YKIc9OJq5CylDst0MyXazo7CCmatqHr/snSKyky2+vTyJlFjT+mLySJujnyvk+llF/LZXNPHR3vuznNe3ZuL3+o+l5BfDM2NicbssKmybK94romemiy8uTvz1WpcNjGbAU/u55eMiXv5NArktXTz7fSmfrytjUJaZuVu1q4KrB5v3uHrmAQ7PcSuxqy+XGwZcYPbWJaTX5YydwHWYVSW68y4iDaId0SLGVuAcYBywurbBJ/TJ4uMbR/H7Y/Kcm02LNEDH9AQsy8sH+rIiKNgS/IAkIFbsLGf5zgpuPCL218QOIMZtce3QGPYWw5JtdV+NV15h85c5xQzJdjGxu0nClm6rYMNem98fEXNIktgtw83pPaKZvboMgD+PjKVTC4sRzxQSf88+Tn7pABO6RnHJgGje/KmUmSvLePx4Lcesl04j4fJP4YQpdU3sZgDdgRdRYicijaCZO5FDfQj0BiYDfwQcb1XHRbu5dmwukwa14/6ZP/HWoo1olbM01oD2Lbwf2LMe/QULH4nRFveNjeX4vJq/hotNzkVKPeqWPL+4lGXbK/j4vINLKwtKzN+X5JiaNwtSYy1Kys3XaXEWCy5JZM6actblV3BYhosj2kWxs7CCK94t4uEJcbRJ0r3gOknrAOPuhh4n1fWMNZjZuncCF5SIRBL9tBap6QCmmmY/TKUyn9qkxvHwb/vx+pXD6Neu1m17Ij71zKpZdANQpcwwk53i4pbhsbRPPfTXcIVt8/jXJeSlu8hLr9uv6JJymzvmFnN0ZzdHdTqYLHbLcOO24PWfyg4Zf6DU5t2VpQxse3DVgcuyGNs5igv7x3BEO3ON371fxMAs969LQIvLdHPBUUwiHPUXuHphXRO7/ZjCXj1QYicifqTkTsTZMmAUpuDKttoG92/fgjevOpIpk/rSuj633EWq6NwqyfsB7beLCH+YXcwX68t5eHwsLm/Lc73459cl/JJvc9/YQ5dOtoy3uKBfNC8sLuW6mUUs2lLO5+vKOP4/hfy82+aygc576P67tJQPVpXx5AlxzF5dRu4jBcTds4/cRwqYtarM8byIY1nQ5wy45hsYeRNE1Wn56nNAHnAfoB47IuJXSu5EfKsApgO5wP9Rhwaypw7IYc5No7n6qK7OhTFEHOSkxXs/oJm7sHfPp8VM+bKEu8bEcmwtrRAq7S+xueezEk7rHsWgrJr7f6ceG8dp3aOYurCEfk/uZ8QzhcxZW07/Ni7O6u39Pbbtr+B37xfxwDFxFJTYnDSjkCHZLt44I55BWaa65k87yhv13xoWsgfCxR/CqU9Bctu6nLEAOBw4H9gU0NhEJGLpk6dI3ezF7MHrAbxV2+CEmChuGteNj28cxW8G5uCq2w14EdKT1OMuEv3jy2L+PKeYqwdH8+eRdZ/5f+jLEnYW2vx1jPdzEqItXp2UwMprkph9TgJDsl1EueDpk+IdZwavfK+Ivq1dXDowhhcXl9ImyeL5ifGcclg0L0yMp3WSxX+W1HqfK3wlt4FTnoBLP4GcwXU5YzNwHqan6oKAxiYiEU/JnUj9rAJOAY4BltY2OKdFAg+c3pdZ149kfM/WAQ9OQl9SrEOdK83cha1p35Rww6xiLuoXzVSHJuGb91VQVnHonrddB2wemF/M+X2j6Z7pu2pv15Yu8ottFm6s4OYjYxjQ1vv4/ywpZdaqMp4+ycwgF5aaBLEyEXS7LBKjLQojMbeLb2H21V3zDfQ7qy5nFAP3YpZgPo+akYtIECi5E2mYjzAFV64Cau1onts6mSfPHcSbvxvGEV3qVBZbIpDLBdFuh2ne3WuDGosExwuLS7jivSJ+2yuKaSfFeW2D8d+lpWRNKeDklw7tq3nfZ8UUlcHto2uf6du+v4LfvVdEr1YubhvlffyWggqumVnE/UfH0THNfDw4NjeKH3dUcOfcYn7aUc4dc4v4cUcFx3aNoGLbsckw6ma4bpHZVxfjsC/2UK9jVnpMBgoCGp+ISBUR9NNZxO/KgMeBl4DbMYmez9vn/dq3YMalh/PZyu3836zlLN6QH4QwJVT0bJvqvcddUT4c2B38gCSgXltWygVvFpEWZzEk283jXx06HTaivZu+bdykJ1ikxkL7lIN/NzbureCxr0q4clBMjYqb3vzu/SJ2F9nMPDuBGIcbCJe/axqeXzX44F68oztHcefoWO6aV8wd84pxW3D3mFjGdo6Ajw/RCTD0chh2LSS0rOtZP2BaG3wSuMBERJxFwE9nkYDbhfll/k/gIWB8bSeMyM1kRG4mM3/YzAOzVrB6u27sCvRrl+r9gJZkhp33VpRy5msHKLfN8sobZhXXGPPQ+Fj6tjHtDfbccmiLjOcXlxLlgltHxNT6Xi/9UMqry8qYPCKGgV6KrgA8t6iED1eXseiKxBo3GG4bFculA6JZvtP0wAv7nndRcTDoIhh+AyS1qutZuzAtdKZhbvyJiDQJy1ZTXBF/soDjgPuBXnU5obzC5rVvN/DwhyvYlK+q2JHs3om9OGtoh5oHfnwHXj4n+AFJs7ZiZzl56b732oFZ+vnkN6V8fJ7zrJ0A7hgYcB6MuBFSsup6VjlmBccd1GGJvohIoCm5EwkMN3AmcBfQqS4nFJeV8+KX63hi7mq2F9S8iy/hb8alQzmiS0bNA188CrMmBz8gkUjgioK+Z8KoP0Ja+/qc+RZmT12txbVERIIlzNdWiDSZcuAF4DDgamBrbSfERrm5aHgnPrt5DHec1JOs1Do1w5Uw0jbVoced2iCI+J/lgj6T4Oqv4ORH65PYzQQGYyonK7ETkWZFM3ciwZEIXAvcDDhsrDpUSVkFr327gSfmrmbdrsKABifNw+Lbx5ES76Wx9H8mwYpZwQ9IJBxZFnQ/Gcb8CTIPq8+ZnwB/AeYHJjARkcZTcicSXC0xzdCvBRymaQ5VXmHz9qJNPDZnFau2qfBKOFt177FEubwsqHhsKGz/KfgBiYSbbsfCmMnQpnd9zvofJqmbE5igRET8R8mdSNPIwnxYuIQ6Vq2tqLD5YOkWHpuziqWb9gY0OAm+xBg3P9w53nsrhHvaQqlmb0UaxB0NvU6DI66ub1L3Nebn9CxAH5ZEJCQouRNpWl2BOzHFV+pcxu7jH7fy2JxVfLtuT8ACk+Aa1iWd/1x6eM0DBdvggdzgByQS6uJSYeCFpldd3atfAizGJHXvoKROREKM+tyJNK1VwNnAvcCfMElerYWOxnZvzdjurfl85Q4en7uK+at3BjhMCbQ+OWneD6jHnUj9pLWHoVeYtgaxyfU58yfgNuA1oCIgsYmIBJiSO5HmYSlwDqZX0i3A+dTh3+fw3AyG52bw4+a9TP98DW99v4mScn0mCUWHtXH4EKpKmSJ1kzUAhl0NPU4BV+39/6pYjfnZOwNT6VhEJGRpWaZI89QeU3jlEiC2ridt31fMC1/+wgtf/sLO/SUBC0787/XfDWNA+xY1D3z2IHx8V/ADEgkFlgW542HYNdBxeH3PXofpRfocUOr32EREmoCSO5HmrS3we+BKTDuFOikuLefN7zcx/fM1LN+6L2DBif/Mv+UostK8FFB9+1r49t/BD0ikOYuKg76/hSOugoy8+p69CngQeAYo9ntsIiJNSMmdSGjIAK7DtFBIqc+Jn6/cwb8+X8PcFdvQP/fma+md40mM9bIS97mT4ee5QY9HpFlKSIfBl8CQSyExs75n/w94AFMoRcsvRSQsKbkTCS1pwFXADUB6fU5cva2AZ/63hte+3ciBUn2uaW5+vu84XN7aIPyjH+xeE/yARJqT9K5mlq7vmRBdpxahlSqA1zEzdV8GJDYRkWZEyZ1IaEoCLsDM5nWtz4l7Ckv47zcbmLFgHT/v2B+I2KSeMpJi+PrPx9Q8UFEOd7eCirLgByXS1NwxcNjxMOB86DKmvmcXAv8CHgZ+9ntsIiLNlJI7kdDmAo7HzOTV+9PPlz/v5D8L1jFr6RaKy1Rls6mM79GaJ88bVPPAnl/g4T7BD0ikKWV2M20M+p5plmHWzxZgKvAksMvvsYmINHNqhSAS2iow+0feAfoB12N65cXU5eTDO6dzeOd0du8v4bVvNzBj4XpWby8IXLTiVa+cVO8H1AZBIkV0AvScaJK69oc35ApLMfvpZqAiKSISwTRzJxJ+2mCqa14J1LviwII1O5mxYD0zf9is2bwg+ec5A5jQq23NA989D29dHfyARIIlq79J6Hr/BmLrVSuq0keYpG42oA80IhLxlNyJhK844GzMks2e9T15T2EJr3+7kRkL17Fym2bzAum9a4bTM9vL7N0nd8On/xf8gEQCKS4Vep9u9tK1bdCy4zLMDN2DwCK/xiYiEuKU3ImEPwsYi0nyjvV8Xy9frd3Fq99sYOaSzewtUnEPf1s4eSytkuNqHnj9Ulj8SvADEgmE9kfAwPOhxyn1rXhZaRumN92jwAa/xiYiEiaU3IlElo7AJcBFmAbp9VJcVs4nP23jze82Muen7ZSUa9mmP/z01wnERbtrHvjXOFi/IPgBifhLYgb0PcssvczIbcgVbOAD4GngXaDEn+GJiIQbJXcikSkaU2XzUho4m5d/oJT3Fm/mre83snDtLjVIb4Q19x2H5a3H3YPdYN+W4Ack0hixKdDtWFMgpevR4I5uyFXWY1oZPAOs82t8IiJhTMmdiHQALvY8shpygY17DvD29xt547uNrNiq/Xn10Sk9gTl/8NLFoqwI7mmDsmYJCbHJBxO6LmMhKrYhVykD3gamAR8C5f4MUUQkEii5E5FKUcBxmNm84zA99Opt2aZ83vx+E29/v4kte4v8GV9YOnVANlMm9at5YMcKeHRw8AMSqauYJOg24eAMXZSXfaN1sxKz7PLfwFa/xSciEoHU505EKlXeNX8baMfB2byc+lykR1YqPbJSuWXCYXz9y25mLd3CrKVb2LD7gP8jDgM92zqUf1ePO2mOYhIhz5PQ5R7TmISuCHgVM0v3GWpjICLiF5q5ExFf3MAY4BzgNCCpoRdauimfD34wiZ6Wbh707IWDGd2tVc0DXz0N790Y/IBEqotJhNzxBxO6hlW6rLQYk9C9COz2S3wiIvIrJXciUlcJwImYRG8CjZj5X7NjP7M8id73G/ZE9LayD28YSW7r5JoHZv8F5k8NfkAiANEJkDvOJHR548z3DZcPvIJJ6r5Gs3QiIgGj5E5EGiIDmIRpkj6sMRfakl/E7GUm0Vvw8y7KKiLrZ9J3fzmGFokxNQ+8ch4seyv4AUnkSsw0e+fyJpgZupjExlxtL/AmJqn7CCj2R4giIuKbkjsRaawuwFmYRK9bYy60p7CEOcu3M2/5dj5buZ2d+8O/pdXKe44l2u2lds2TI2HzouAHJJHDsiCrv1lymTsOsgc09or7gLcwCd1slNCJiASdkjsR8RcLGIhJ8ibRwLYKVS3ZkM+nK7czb8V2vv1ld9jN6kW5YOU9Dj3u7u8ARXuCH5SEt/gW0OUoMzPX9WgzW9c4BRya0KlErohIE1JyJyKB4AKGABOBU4Gujb3gvqJS5q/eyacrTLIXDtU3++ak8tbVw2seKNpjkjuRxnJFQc4g6DzGJHXZA8HlbuxV92Oq6r4CzAJC/x+jiEiYUHInIoFmAT05mOh5aepWf6u3F/ya6C34eRcHSkOv3/H5wzpw50m9ah7YvBieHBH8gCQ8pHcxiVznMdBpBMQ6tNuon0LgHUxCNxMldCIizZL63IlIoNnAD57HX4FOmERvInAkJvmrty6ZSXTJTOLCIztRXFbO4g35LFyzi6/W7OKbX3azr7jMX/EHzGHeqmQC7FGPO6mH1BxoNxQ6jzaPtPb+uvIB4F1MQvc+JsETEZFmTMmdiATbGmCK59EGOAkzo3cUEN2QC8ZGuRncsSWDO7aEMVBeYbNs016+WruLBWt28dXaXexqhsVZOmU6tA3cvTaocUgIcUdDm94mmWs3FNoNgZRsf77DOuA9TDI3B7MEU0REQoSWZYpIc5GCSfAmeB5+3XS2alsBC9fsNMneml1sym/6ug/z/jCaDuleys2/fxMsnBb8gKT5SWgJOUMOJnLZAxvbRLy6MuBzTDL3PrAM9aETEQlZSu5EpDmygDxgPCbRGw349RPtht2FfPPLbhZvyGfJxnyWbsxnf0lw9+0tvmMcKXFeJitfPB1Wzg5qLNIMWBZkdDuYyLUbChm5gXinzZh9c+9jetDlB+JNREQk+JTciUgoiAOGYxK98YCXKiSNU1Fhs3p7AYs35rNkQz6LN+SzbHM+RaUV/n6rX62+91jcLi897h4bAtuXB+x9pZmISTK95X5dYjkY4tIC8U4HgHmYVgUfAkvR7JyISFhScicioSgHGIdJ9sYCLQPxJuUVNiu27mPJRpPsLdmwh5+27KO4rPEJX2JMFD/cOc57j7t72kCpihGGDVcUpHeF1j2hVXdo1cN83aJjoN7RBr7FJHKzgfmoobiISERQcicioc4FdAdGACM9D79WmKiqtLyCNTv2s3JrASu37WPl1gJWbN3H2p37KS2v+8/TI7uk8+Klh9c8ULAVHsjzY8QSVKntoHUPk8C16mG+zsgDd0wg37UCWIxJ4j4FPgZ2BPINRUSkeVK1TBEJdRWYZWZLgX9i9ut1xCR5lQmf3zYuRbtd5LVOJq91MtD219dLyytYu2M/K7cVsHLrPlZu8yR9OwopKa8509enncPyu91qgxAS4ltUmYnr6Unouvurp1xt8oEvMMncfGAhsC8YbywiIs2bkjsRCTc2pt3CGuDfntfaYBK9ymSvDw3sr+ck2u0it3Uyua2ToffBpK+svIK1OwtZta2AtTv3s25nIb/s2s+A9g7JnXrcNQ+WBUltIK2d6RuX2t48t+gIrQ6D5La1XsKPVmKSuP95nn/E3NQQERE5hJZlikgkagEMqvbwW+fnRvnpPfjiUdizHvZtgorgVvCMGC43JGdVSd7aQVqHg9+nZENUbFNEVgR8xcFZuS+A7U0RiIiIhB4ldyIiRitgIIcmfFlNGlFFuUnw9qyH/PWwdxMU7qz22GWei1TNHjAzbnFpZtlkfAvTJy6ptSd5a39o8uZqFotXfsEsq6xM5r4HSpo0IhERCVlK7kREnGVxaMI3GMhs0oiclJfCgV01kz6nZLBwJ5QWQnP+HRCbDPEtDyZplQnbr99XP9YS4tPA8tJeountApZUefzgeextyqBERCS8KLkTEamfVkAPoGe15+aZ9NWmvBTKi6Gs5OBzWVHN1w55Lqr5WkU5uKNNVUh3NLiqfO34erXjLs/XUbGmMInbS4P35u8AsIxDk7glwBbUW05ERAJMyZ2IiH9k4j3pa9WUQUnAVGAKnVRP4n4GtFFSRESahJI7EZHAysAkeV2BLp5HD6B3UwYldbIXWIvZF1f1+WdMxcqiJopLRETEKyV3IiJNwwI6AUcA/YDDgFRgJ9DB82jZZNFFhl14T94qn/c0TVgiIiINo+RORKT5SsK0aKhM9jIxM4HeHglNFGNztA+TuO2s8ryemgmcGn+LiEhYUXInIhIeEoB0TKLnKwmsfLQEmqSRWz0UcWiCVvns9PUuz0OtBEREJCIpuRMRiVwWEINJ8iofcdW+r/5wOu7GJFUlQKnD17V9X1rleR9QGLj/dBERkfCj5E5ERERERCQMNMtOryIiIiIiIlI/Su5ERERERETCgJI7ERERERGRMKDkTkREREREJAwouRMREREREQkDSu5ERERERETCgJI7ERERERGRMKDkTkREREREJAwouRMREREREQkDSu5ERERERETCgJI7ERERCXmWZQ23LKt3U8chItKULNu2mzoGERERaeYsy8oG0oEioAQoAyo8DwALiAJigESgwLbtn6uc3wJzU7nAtu3iWt4rBkgCsG17l5fjCcCVwELbtj/zvLYR+NG27aM9318PlAPTbdve38D/bBGRkKKZOxEREamL44BFwHJgDbAe2Ahs9jw2AeuAVZ5xl1Q7fzKwAyiyLKvCsqwiy7L2W5ZV4Hns97xWDhQDO4G/O8SSAfwBeNGyrDTPa/uADQCWZbUEbgeGYRI8EZGIENXUAYiIiEhIqJz9irdtuwjAsqyOmETvGNu2P6ocaFnWFqCw2vnfAI95rlMElGJm/Y4CxgIPAbsxM39xmNm/b6pewLKs7kAycAC4DzO718qyrAzMDetky7K6ArcA2z1julqWlQiU2Lb9XWP/EEREmjMldyIiIlIXlcsvO1uWVeL5OtvznOVJqiq5q59s2/YMYEb11z1LMMcCT9m2/VMtMdwMnF/ttburfJ0LnFrl+0VVvv4YOLqW64uIhDQldyIiIlIfS7289u8gvv8i27b7WZYVbdt2qa+BlmVF2bZdZlnW3CDFJiLSpLTnTkREROoj3rZty7ZtC+jkee2Yytc8r2/1dqJlWV0ty1prWdZjfojjU8/evRLPXr2qj1LLsmzgCT+8j4hIyNDMnYiIiNSF5Ydr7Ac6YAqrVHeeZVnbPO8TB2QBt9q2va/KmHswe/HA7NmbCdzo8F4fY/b2AZwMqDy4iIQ9JXciIiJSF0me5wOWVSPP+9DLa/FermFXe67qj1W+rtyzdyemCqY5ybZXVjvnAJ4KmV6U4amUadt2vsMYEZGwouRORERE6mImMAAz+1aMKbByJ7AWeBqTkLk4WO1ybz2v36tqQRXLsuI5OPPmTSxwCpCP8zaT2HrGICIS0pTciYiIiE+eVgI2pu1B1TYGpwAv27a9yTJTd5VNzOOBhMa8p23bBxxisTBLM4fZtl1e5fUC4AFMwunCLO90W5aVqpk7EYkUKqgiIiIitTkGs/xxN2YpZBkmuWsBXOEpXlIBlAAFmB5zH3m/VKOlYZZqllmWVW5ZVrFlWUWYhO/PnvgOeGIpAlYHKA4RkWZHyZ2IiIjU5lOgP3AY0AVoDzyJSaI6AW2rPb4ANgYolsoeew96YunmiasQeNTzdR7QGXguQDGIiDRLWpYpIiIiPtm2vQvYVfm9ZVmjgQuBh23bXlt9vGVZbYF5Vb7viJltq9MeOMuy3J6xSUCsbdvrqxyuTO72VH1vz+xh9df21+X9RETChWbuREREpE4sy0qwLOtPwAfAfMwyyOpj8oCOwLIqL7+EaX+w1vP97ZZl2Z6E7HbPaz9Wea0MU7hlKzV71bnx7tfPNJZljbQs637gVM+1REQigmbuRERExCfLsk4HTgOOx1TCnIrpQVdaZcxU4ESgjeel2VUu8QLwDqbKZjmmOEvlPj2bgz30KguhWJgkLoGayzuTHcKsrNYJsA24GbPn7uG6/5eKiIQ2y7bV01NEREScWZbVGZiFaYfwsG3bP3sZMwCYhqmo+ZJt268GKBYLSAUO2LZd7HnNjZmh+4dt29dbluUCegM/2rZd4nw1EZHwouROREREREQkDGjPnYiIiIiISBhQciciIiIiIhIGlNyJiIiIiIiEASV3IiIiIiIiYUDJnYiIiIiISBhQciciIiIiIhIG/h+YAzvHrkdCZgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bmi=df['bmi'].value_counts()\n",
    "bmi1=df1['bmi1'].value_counts()\n",
    "plt.figure(figsize=(9,9))\n",
    "ax=plt.pie(bmi,radius=2,autopct='%0.2f%%',\n",
    "           pctdistance=0.9,\n",
    "           labels=['男低体重','男正常','男超重','男肥胖'],\n",
    "           wedgeprops={'linewidth':6,\n",
    "                      'width':0.6,\n",
    "                      'edgecolor':'white'\n",
    "                     },\n",
    "           textprops={'family':'Heiti TC',\n",
    "                     'fontsize':18\n",
    "                    }\n",
    "       )\n",
    "\n",
    "ax=plt.pie(bmi1,radius=1,autopct='%0.2f%%',\n",
    "            pctdistance=0.8,\n",
    "            labels=['女低体重','女正常','女超重','女肥胖'],\n",
    "            wedgeprops={'linewidth':5,\n",
    "                        'width':0.5,\n",
    "                        'edgecolor':'white'\n",
    "                       },\n",
    "            textprops={'family':'Heiti TC',\n",
    "                       'fontsize':18\n",
    "                      }\n",
    "           )\n",
    "plt.rcParams['font.family']='Heiti TC' # 全局设置\n",
    "plt.rcParams['font.size']=18\n",
    "plt.legend(['男低体重','男正常','男超重','男肥胖','女低体重','女正常','女超重','女肥胖'],\n",
    "           title='男女生体重指数',\n",
    "           loc='upper right'\n",
    "          )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
